Senior Staff Software Engineer - Launchpad

About the TeamThe Launchpad team comprises innovative engineers who work closely with our VP of Product & Design and our Co-founder to uncover strategic business opportunities and develop cutting-edge solutions.About the RoleDoorDash is seeking a seasoned backend engineer to take charge of a confidential initiative. Over the last year, the Launchpad team has…

About LanceDBLanceDB is an innovative, developer-centric, open-source database designed for multimodal AI applications. We provide robust solutions ranging from hyper-scalable vector search capabilities to advanced retrieval for Retrieval-Augmented Generation (RAG). LanceDB is your ideal partner for creating AI applications, enabling seamless interaction with large-scale AI datasets and powering some of the most cutting-edge applications across various industries.About the RoleWe are seeking a Senior Open Source Engineer to enhance the presence of LanceDB within the extensive data infrastructure ecosystem. You will engage in projects that sit at the convergence of high-performance computing, big data, and open-source systems. Your contributions will drive integrations, optimize distributed operations, and support initiatives within the Apache and AI communities.Key ResponsibilitiesLead open-source community initiatives to integrate the Lance format with systems such as Spark, Hive Metastore, Presto, Trino, and Ray.Design and sustain efficient distributed operations for Lance datasets.Develop optimized indices to facilitate predicate pushdown and enhance query performance in Spark, Ray, or Trino.Engage in the development of table formats, data encodings, and various components of the Lance format using Rust.Manage and enhance internal data processing infrastructure.Advocate for the Lance format in open-source forums and at major Big Data conferences.RequirementsOver 10 years of experience in developing high-performance databases, big data systems, or large-scale data services.In-depth knowledge of the internal workings of open-source Big Data or AI training systems such as Hadoop, Spark, Flink, Ray, Iceberg, Delta Lake, Hudi, ClickHouse, Trino, Presto, PyTorch, or JAX.Extensive experience with high-performance computing using Java or Scala.Familiarity with Rust is preferred, or a strong willingness to learn.Demonstrated ability to work efficiently, independently, and collaboratively within a high-caliber team environment.Preferred QualificationsActive contributor, committer, or PMC member in Apache or other significant open-source projects.Experience with Java, Rust, C++, Apache Arrow, DataFusion, Parquet, Iceberg, or Delta Lake is a plus.

Key Responsibilities:Take a pivotal role in designing and executing our flagship software product.Develop prototypes and iterate on new features that integrate cutting-edge AI technologies.Establish best practices in technology and explore future enhancements for our platform.Mentor current and upcoming members of our engineering team.Analyze high-quality datasets from Fortune 500 companies to generate valuable insights for our clients.

Who We AreAt Pave, we are revolutionizing the compensation landscape with our industry-leading platform. By merging the largest real-time compensation dataset with cutting-edge AI and machine learning expertise, we empower over 8,500 companies to make informed compensation decisions with unmatched confidence.Leading organizations such as OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo leverage Pave to transform their pay strategies into a competitive edge. Our platform manages an impressive $190 billion in total compensation spend, with 70% of the Forbes AI 50 utilizing Pave for benchmarking compensation.The future of compensation is here, characterized by real-time and predictive capabilities—and we are at the forefront of this transformation. With $160 million raised from prominent investors including Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures, we are set to reshape the industry.Core Platform @ PaveOur Core Platform team is at the heart of Pave Engineering, bridging the gap between product and platform engineering. We are responsible for developing foundational services, APIs, and abstractions that empower every team to deliver enterprise-grade software efficiently and confidently. In this pivotal role, you will oversee essential services like user authentication and authorization, as well as the underlying data infrastructure and models that drive Pave’s compensation intelligence platform. Achieving success in this position requires robust systems thinking and the capability to spearhead complex initiatives across the organization.Discover more about our engineering principles here!

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

Join TrueMeter as an AI-Native Data Engineer San Francisco Bay Area | Hybrid (3 days onsite, 2 remote)About TrueMeterAt TrueMeter, we are pioneering the AI Energy Agent, transforming how businesses manage their energy expenses and savings. The increasing demand on energy grids due to AI and electrification has created a critical need for predictability and control in energy costs, which are rising at a staggering rate. TrueMeter addresses this challenge by converting complex, multi-utility bills into a simple, cost-effective, fixed-price subscription model powered by AI.Since our MVP launch in May 2024, we have successfully integrated millions of dollars in energy bills from renowned brands, validating our innovative solution.Founded by Stanford alumni and supported by leading Silicon Valley investors, we are rapidly expanding and are in search of exceptional AI-native engineers to join our dynamic team.Your RoleWe seek a passionate builder eager to construct innovative solutions swiftly. In this role, you will manage our data and AI infrastructure comprehensively: from pipelines and databases to APIs, laying the groundwork for coding agents and LLM workflows.You will collaborate closely with our co-founder/CTO, influencing the data flow within the organization—translating raw energy telemetry into significant business outcomes.This position embodies the essence of a startup: adaptability is key, speed is essential, and your contributions will have a profound impact.Key ResponsibilitiesDeveloping robust data pipelines and APIs to integrate with numerous utility providers and public energy data sources.Designing databases and ingestion systems to handle time-series energy data, billing, and telemetry.Creating scalable and cost-efficient GCP infrastructure, utilizing tools like BigQuery, Cloud SQL, and Secret Manager.Establishing infrastructure that enables the automation of workflows through coding agents and AI tools.Implementing CI/CD, observability, and automation processes to facilitate rapid and clean delivery.Documenting processes and collaborating across technical and business teams—translating technical work into understandable impact metrics.Who You AreAI-native—you possess a deep curiosity and a knack for innovation, eager to tackle complex challenges in the energy sector.

Join Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team collaborates with clients to transform groundbreaking research into scalable production systems. We thrive at the crossroads of client engagement and core platform innovation.Role OverviewAs a Forward Deployed Engineer (FDE), you will spearhead the intricate deployment of advanced models in production environments, working closely with our most significant clients. You will take ownership of the entire project lifecycle, from initial discovery and technical scoping to system design, implementation, and rollout, collaborating directly with customer engineering and specialized teams.Your success will be gauged by how well our solutions are adopted in production, the measurable impact on workflows, and feedback that influences product and model strategies. You will closely interact with our Product, Research, Partnerships, Governance, Risk, Compliance, Security, and Go-To-Market teams.This position is based in San Francisco, following a hybrid work model requiring three days in the office each week. We provide relocation assistance, and travel may be required up to 50%.Key ResponsibilitiesLead technical delivery across multiple deployment phases, from initial prototype to stable production.Develop full-stack systems that provide substantial value to customers and enhance our learning processes.Work intimately with customer teams to understand their requirements and facilitate the adoption of your solutions.Scope projects, plan deliveries, and proactively address potential obstacles.Make strategic decisions about project scope, speed, and quality; adapt plans to ensure successful delivery.Contribute code directly when progress or clarity is essential.Document effective workflows into tools, playbooks, or foundational building blocks for broader use.Provide valuable field feedback to help our Research and Product teams identify areas for model improvement.Ensure team momentum through clear communication and consistent follow-through.Ideal Candidate Profile5+ years of engineering or technical deployment expertise, with a focus on client-facing roles.Experience in scoping and delivering complex systems in dynamic or unclear environments.Proficient in writing and reviewing production-level code across both frontend and backend technologies, particularly Python.

Join our innovative DashPass team at DoorDash as a Senior Machine Learning Engineer, where you'll play a pivotal role in harnessing AI and advanced machine learning to revolutionize subscriber personalization strategies. In this dynamic position, you will lead the design and development of large-scale ML systems that enhance user engagement and retention across the DashPass subscriber journey. Your expertise in causal inference modeling and incentive optimization will drive impactful decisions, ensuring our subscribers receive tailored rewards and promotions that resonate with their preferences. Collaborate closely with cross-functional teams to create experiments and production ML systems that directly influence growth metrics. This is a unique opportunity to be at the forefront of personalization efforts that will shape the future of our offerings.

Join the Revolution at HarveyAt Harvey, we are not just changing the landscape of legal and professional services; we are redefining it entirely. By leveraging cutting-edge agentic AI, a robust enterprise platform, and unparalleled domain knowledge, we are innovating the way essential knowledge work is performed for generations to come.This is a unique opportunity to contribute to a groundbreaking company at a pivotal moment. With over 1000 clients across more than 58 countries, a strong product-market fit, and support from top-tier investors, we are rapidly scaling and carving out a new category in real-time. The challenges are ambitious, the expectations are high, and the potential for personal, professional, and financial growth is exceptional.Our team is composed of intelligent, driven individuals who are deeply passionate about our mission. We operate swiftly and with intensity, taking full ownership of the challenges we face — from initial ideation to long-term success. We maintain close connections with our customers — from leadership to engineering — collaborating to address real problems with urgency and care. If you thrive in a fast-paced environment, strive for excellence, and want to help shape the future of work alongside like-minded individuals, we encourage you to join us in this journey.At Harvey, we are actively shaping the future of professional services — and this is just the beginning.Role OverviewAs a Software Engineer for our AI Agents, you will be instrumental in developing the systems that make our AI agents invaluable to legal professionals.You will be responsible for designing environments and workflows for agentic professional tasks, making informed model selection decisions, managing context windows, creating optimal tools, and developing evaluations that facilitate rapid iteration cycles to unlock new capabilities.We seek engineers and researchers who are deeply engaged in this field, passionate about delivering impactful products, and experienced in utilizing practical evaluations to enhance task completion quality and customer satisfaction.Representative ProjectsAutomate information requests and due diligence checks across vast datasets for high-pressure M&A deals, saving weeks of effort with retrieval and file editing agents.Significantly accelerate deal turnaround times by enhancing the responsiveness and quality of agents applying a standardized legal "playbook" to contracts.Empower our clients to succeed in complex, data-intensive litigation cases by optimizing our multi-source retrieval agents.Facilitate the generation of board-ready PowerPoint presentations by fine-tuning the harness and libraries for coding agents.

About SesameAt Sesame, we envision a world where technology seamlessly integrates into our daily lives, making interactions with computers feel intuitive and human. Our mission is to create groundbreaking voice agents that enhance everyday experiences. Our talented team comprises trailblazers from Oculus, Ubiquity6, and industry giants like Meta, Google, and Apple, bringing extensive knowledge in both hardware and software. Join us in crafting a future where technology truly comes to life.About the RoleAs an Audio Systems Engineer, you will play a pivotal role in developing innovative smart wearable devices with exceptional audio capabilities. We seek a skilled engineer to define, calibrate, assess, and deliver high-fidelity speech reproduction and spatial audio capture systems.Key Responsibilities:Lead the development and release of consumer electronics that set new standards for audio performance, either independently or with guidance from the Audio Lead.Translate Product Level Requirement Documents into precise audio system and transducer specifications that ensure product excellence.Design, evaluate, and enhance real-time audio capture and rendering systems.Investigate and adopt cutting-edge technologies to improve audio system integration.Stay updated with emerging technologies and establish benchmarks for optimal user experience.Contribute to system architecture discussions, including algorithms and tools, and oversee their implementation.Assess third-party audio technologies and remain informed about industry advancements.Understand the trade-offs related to various DSP and ML approaches for embedded solutions.Collaborate with cross-functional teams to drive innovation in audio solutions.Support factory testing and product builds throughout the development lifecycle.Essential Qualifications:Minimum of 4 years of experience in audio hardware development.Proficient in designing, calibrating, and testing microphone arrays and real-time audio capture systems.Demonstrated success in developing comprehensive audio solutions that encompass acoustics, transducers, and DSP technologies.

About ConsoleConsole is an innovative AI-driven platform designed to streamline IT and internal support processes. Our mission is to empower companies to scale efficiently without the need for increased headcount, providing employees with immediate solutions to their challenges. Our intelligent agents comprehend the complete context of organizations, managing requests from start to finish and involving human intervention only when absolutely necessary.Leading companies such as Ramp, Scale, Webflow, and Flock Safety trust Console to automate over half of their IT and HR inquiries. We have consistently outperformed competitors in trials and are poised to significantly expand our user base by year-end.Our team is small yet exceptionally talented, characterized by curiosity, agency, and a down-to-earth attitude. At Console, we foster a flat organizational structure where ideas are valued based on merit rather than hierarchy. We are actively seeking extraordinary individuals to meet growing demand, supported by Thrive Capital and distinguished angel investors.The RoleAs a Forward Deployed Engineer at Console, your primary responsibility will be to ensure customer success with our platform. You will collaborate closely with sales, product, engineering, and executive leadership to understand and resolve customer inquiries, while also integrating insights back into our core product development.Key responsibilities include:Assisting support agents in integrating Console to automate long-standing manual workflows.Developing AI tools to analyze support tickets and provide actionable insights to prospective clients on enhancing automation.Influencing product decisions by translating customer feedback into valuable platform enhancements.You will have the opportunity to unleash your creativity, work independently with clients, and influence both the platform and product vision.This position is located in San Francisco, CA. We operate on-site and offer relocation assistance for new hires.Your ProfileYou are a quick learner with a high aptitude and the ability to apply your knowledge across various domains.You possess technical skills, with experience in building systems from the ground up and a desire to understand underlying mechanics.You thrive on collaboration and take ownership of your role in supporting both customers and colleagues.You have entrepreneurial aspirations and a strong desire to learn and grow across multiple areas.QualificationsA minimum of 2 years of experience in a technical role or as a software engineer.Proficiency in programming languages such as Python, Java, or JavaScript.Experience with cloud technologies and API integrations.Strong problem-solving abilities and a passion for delivering exceptional customer experiences.

About DecagonDecagon stands at the forefront of conversational AI technology, empowering brands to enhance customer experiences with tailored, concierge-level support. Our innovative platform allows leading enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to implement AI-driven agents that facilitate meaningful interactions across various channels including voice, chat, email, and SMS.We envision a future where customer interactions evolve beyond mere support tickets and hold music to engaging conversations that foster deeper relationships. Our commitment to excellence is strengthened by support from world-class investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.Our in-office culture thrives on collaboration and a relentless pursuit of excellence, guided by our core values: Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle.About the TeamThe Research team is dedicated to creating the model and decision-making architecture that drives Decagon’s conversational agents. We leverage cutting-edge techniques in model training, prompting, orchestration, and evaluation to enhance the accuracy, robustness, and efficiency of our agents in real-world applications.Our mission is to advance the capabilities of applied conversational AI, developing agents that accurately interpret nuanced intents, maintain comprehensive context, and make informed decisions amidst uncertainty. Success is defined not just by metrics, but by creating exceptional user experiences that result in higher resolution rates and improved customer satisfaction.About the RoleAs a Senior Research Engineer, you will spearhead the development of advanced conversational AI models that underpin Decagon’s agent. You will be responsible for steering multi-quarter projects aimed at enhancing the agent’s reliability, capabilities, and operational efficiency. Your expertise will be crucial in designing and implementing innovative strategies for training, evaluation, and orchestration throughout our systems.We are seeking accomplished engineers who are eager to contribute to the foundational models and algorithms that drive our AI agents. At Decagon, you will take ownership of your projects from inception to implementation, delivering tangible improvements and making impactful technical decisions.

At sfcompute, we are pioneering a transformative approach to GPU cluster financing, enabling the largest infrastructure build-out in history while effectively mitigating risk.In the ever-evolving landscape of GPU technology, securing financing for GPU clusters and the essential infrastructure they require involves inherent risks. Our innovative model ensures that developers can lease clusters through fixed-price long-term contracts, thus offloading risk to the customer while maintaining financial stability.As AI and computational demands grow, our mission is to democratize access to powerful computing resources. We aim to create a liquid market for GPU offtake, allowing startups and smaller enterprises to thrive without the burden of long-term contracts that aren't feasible for them.Role OverviewJoin our dynamic infrastructure team, responsible for architecting and deploying cutting-edge GPU clusters globally. You'll play a crucial role in maintaining operational excellence, engaging in on-call rotations, and driving automation to facilitate large-scale deployments. As a key member of our small but ambitious team, you will help shape our culture, mentor junior engineers, and learn directly from our customers.

About WorkOS At WorkOS, we specialize in creating cutting-edge developer tools and APIs that empower businesses to achieve Enterprise Readiness with ease. Our platform facilitates essential functions like authentication, identity management, and authorization—key infrastructure that enables developers to securely scale their products for large organizations.Recently, we secured $100 million in Series C funding, elevating our company valuation to $2 billion, with investments from Meritech, Sapphire, Greenoaks, Craft, Abstract, and Audacious. Our solutions are trusted by some of the fastest-growing AI firms, including OpenAI, Cursor, Perplexity, Vercel, and Plaid.As AI transforms the software landscape, WorkOS is at the forefront of Human and Agent Authentication, Identity, and Access Control, helping companies navigate critical questions about their operations: who are your agents, and what are their permissions? Our rapidly expanding customer base includes hundreds of innovative software companies developing the next generation of enterprise-ready products.Role OverviewIn the position of Forward Deployed Engineer at WorkOS, you will operate at the dynamic intersection of engineering, product development, and sales, collaborating directly with clients to address genuine challenges and enhance their journey towards value realization.This role is ideal for engineers or solutions engineers who possess robust technical skills, exceptional communication abilities, and a strong sense of initiative. While engaging with customers, you will also be responsible for developing prototypes, integrations, demonstrations, and practical solutions that facilitate adoption and growth.Key Responsibilities Engage directly with customers to architect and implement tailored solutions utilizing WorkOS products.Take ownership of technical outcomes throughout the entire process: from discovery and architecture to implementation, iteration, and handoff.Lead product demonstrations and proof-of-concept initiatives.Proactively identify obstacles, propose actionable solutions, and maintain momentum autonomously.Collaborate with Account Executives to assist in product evaluations and expansions.Provide structured feedback to Engineering and Product teams to enhance the platform based on real-world application.Required QualificationsStrong technical foundation with experience in building across APIs and web technology stacks.Previous experience in a pre-sales capacity.Demonstrated ability to communicate effectively with both customers and internal teams.High level of initiative: you should be adept at identifying and resolving issues independently (provide examples of initiatives led from inception to completion).Experience in developing integrations or solutions that enhance user adoption.

Join Loft Orbital as a Backend Engineer within our Mission Operations Services (MOS) team. In this role, you will be responsible for the development and scaling of backend services that empower Loft operators and clients to command, monitor, and automate our satellite fleet using Cockpit, our advanced mission control system. Your work will involve transforming high-level directives into secure and reliable operations in orbit.Collaboration is key as you will engage with various satellite platforms and work closely with teams specializing in backend development, flight software, embedded systems, testing, and satellite operations. This hands-on position will allow you to not only create new systems but also troubleshoot live missions. We also provide SatDevOps training, enabling you to use the tools you develop to actively operate spacecraft.If you're passionate about building the backend systems that control satellites and enjoy both writing code and supporting mission flights, we invite you to connect with us.

Join Our Crew at Ivo! At Ivo, we are not just engineers; we are creators on a mission to revolutionize the legal landscape with cutting-edge technology. As pioneers, we have introduced groundbreaking innovations, including:• An AI agent seamlessly integrated into MS Word to enhance your document editing experience [2023]• Advanced RAG techniques that surpass traditional embedding models [2023]• Large-scale LLM-based legal fact extraction capabilities [2024]• A legal assistant that navigates extensive contract databases with unmatched precision [2024]• Innovative clustering of related legal documents [2025]• Automatic deviation analysis for risk identification in vast contract databases [2025]• The ability to merge contracts with amendments for a comprehensive timeline of 'composite' contracts [2025] Your Mission as a Backend EngineerAs a vital member of our team, your primary role will be to build robust systems that manage and analyze millions of contracts efficiently. Your responsibilities include:• Developing systems capable of processing large volumes of contracts with reliability• Crafting data pipelines that orchestrate LLMs, data extraction, and clustering algorithms at scale• Building the industry’s most accurate search and retrieval systems• Collaborating with legal professionals and product teams to adapt to the rapid evolution of LLM technology Why Join Us?Every major corporation has an in-house legal team, and many of these dedicated professionals are overwhelmed with long hours and tight deadlines. Our mission at Ivo is to empower these lawyers by providing them with innovative solutions that reclaim their time and sanity. We are developing an AI-native platform dedicated to automating the monotonous tasks in legal work. Our products are loved by users, boasting an impressive 85% trial win rate amidst fierce competition. Join us in making a difference!

Why Join Brex?At Brex, we are redefining how companies manage their spending through our AI-driven spend platform. Our integrated solutions, including corporate cards, banking, and global payment systems, empower businesses—ranging from startups to large enterprises like DoorDash, Flexport, and Compass—to effectively control their expenses and enhance operational efficiency.Joining Brex means being part of an innovative environment where you can challenge yourself, disrupt conventional thinking, and collaborate with some of the industry's brightest talents. We are dedicated to fostering a diverse team and inclusive culture, believing that your potential should be limited only by your dreams. We provide you with the tools, resources, and support necessary for your professional growth.Engineering at BrexOur engineering division focuses on creating scalable systems with purpose and speed. Our collaborative teams across Software, Data, Security, and IT work with high autonomy, tackling complex technical challenges and striving for excellence in every aspect, from architecture to deployment. Here, engineering is not just a job—it's a craft that cultivates leadership among builders.Your RoleAs a Senior Full Stack Software Engineer on the Task Workflows Platform team, you will develop and enhance the foundational infrastructure that supports crucial user experiences at Brex. Your responsibilities will include working on a diverse range of platforms, such as our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder. You will be instrumental in transitioning our task orchestration framework from a centralized model to more specialized solutions tailored for specific product domains.You will confront intricate full-stack challenges, from designing scalable backend APIs and automation rule engines to developing intuitive frontend user experiences for domain-specific task interfaces and workflow builders. Beyond core platform duties, your contributions will significantly influence broader product experiences, including utilizing AI to enhance user workflows and supporting the ongoing evolution of our productivity tools across web and mobile platforms.Work EnvironmentThis position is located in our San Francisco office. We adopt a hybrid work model that combines the dynamic interactions of in-office work with the flexibility of remote arrangements. Currently, we require a minimum of three coordinated days in the office each week.

Astranis is at the forefront of satellite technology, crafting advanced satellites designed for high orbits that extend humanity's reach into the cosmos. Our satellites currently deliver dedicated, secure networks to a diverse range of sophisticated clients, including major corporations, sovereign governments, and the U.S. military. With five satellites successfully launched and many more on the horizon, we are actively managing a commercial contract backlog exceeding $1 billion.Recognized as the premier satellite communications partner for clients with stringent demands for uptime, data security, network visibility, and customization, Astranis has garnered over $750 million in funding from top-tier investors, including Andreessen Horowitz, Blackrock, and Fidelity. Our headquarters in Northern California spans 153,000 square feet, where a talented team of 450 engineers and entrepreneurs designs, builds, and operates our cutting-edge satellites.Propulsion Test Team LeadAs the Propulsion Test Team Lead, you will spearhead the testing and fueling of our propulsion systems. You will guide and further develop a team of elite propulsion test engineers and technicians to ensure successful mission outcomes.Role ResponsibilitiesLead a team of propulsion test engineers and technicians responsible for testing satellite propulsion systems, including managing hiring and direct reports.Establish and uphold quality standards and processes for effective verification of unit-level and system-level hardware. Analyze non-conformances to identify root causes and formulate corrective action plans for system enhancements.Oversee daily propulsion test operations, including developing processes to allocate and monitor work across production and development testing programs.Foster a culture of safety and quality throughout the work environment.Assess proposed designs for testability and collaborate closely with design engineering teams to facilitate factory output growth targets of up to 24 vehicles annually.Develop, maintain, and communicate detailed schedules, ensuring team members and stakeholders are informed of tasks and deadlines while identifying and acquiring necessary resources.Manage the test infrastructure required for current and next-generation propulsion systems, including factory layout, safety equipment, and test beds.Engage hands-on with flight hardware alongside your team to guarantee mission success.Develop ironbirds (test beds) for conducting flight-like development and qualification testing.

Join Syska Hennessy Group and see your contributions take shape in remarkable projects globally. As a prominent force in consulting, engineering, and commissioning services, we excel in MEP, information and communication technology, architectural lighting, vertical transportation, and commissioning.We are on the lookout for a Senior Mechanical Engineer to become part of our esteemed team in either San Francisco or Sacramento, CA. Your background in a consulting firm, particularly with healthcare projects, will be pivotal to your success in this position. Operating from our Los Angeles or San Diego offices, you will play an integral role in the design of significant projects spanning both inpatient and outpatient healthcare engineering design across various phases worldwide. Collaborating with a national team of over 100 experienced engineers, you will find ample opportunities for career growth.Our vibrant work environment fosters the ideal atmosphere to elevate your career. We offer a supportive culture, diverse workforce, competitive compensation, flexible work schedules, and engaging social events, ensuring you have everything necessary for an exciting, challenging, and fulfilling career. Experience in Mission Critical, Science + Technology, Healthcare, and Project Management is highly valued.

Role overview The Partner AI Deployment Engineer at OpenAI focuses on delivering AI solutions built on Amazon Web Services (AWS). The position involves close collaboration with partners to bring OpenAI technologies into their products and workflows. This role is based in San Francisco. What you will do Deploy AI solutions using AWS infrastructure Work with partners to integrate OpenAI technologies into their systems Troubleshoot technical challenges and support successful implementation