Senior C++/Embedded Developer

Join latitude as a Senior Staff Software Engineer specializing in Camera Image Signal Processing (ISP) using C++. In this pivotal role, you will collaborate with a talented team to design and implement cutting-edge software solutions that enhance image quality and performance. Your work will directly impact the visual experience of our customers, and you will have the opportunity to lead innovative projects from conception through to deployment.

Join Latitude AI, a pioneering subsidiary of Ford Motor Company, as a Senior Embedded Software Engineer specializing in camera systems. In this role, you will contribute to the development of advanced automated driving technologies, working alongside experts in machine learning, robotics, and safety engineering. Your primary focus will be on designing and implementing robust embedded software for our state-of-the-art camera sensing systems, ensuring safety and efficiency in resource-constrained environments.

Role Overview Pinterest is looking for a Senior Staff Software Engineer to join the Merchants team. This role focuses on building and improving features that support merchants and enhance the overall platform experience. What You Will Do Work closely with teams across engineering, product, and design to gather requirements and set technical direction. Design and implement scalable systems that support merchant needs and user engagement. Develop software solutions that help merchants connect with Pinterest users and grow their businesses. Contribute to the platform’s mission of inspiring creativity and discovery worldwide. Location This position is based in San Francisco, CA or Palo Alto, CA.

Senior Staff Software Engineer - Data PlatformAbout LadderLadder is revolutionizing the life insurance industry by eliminating unnecessary delays, paperwork, and in-person meetings. Founded by Jamie, who experienced a personal loss at a young age, our mission is to simplify access to life insurance so families can secure their futures. By harnessing the power of real-time underwriting and AI technology, we have transformed the months-long application process into a matter of minutes, garnering over $74 billion in coverage provided. Our user-friendly digital experience is celebrated by clients, as reflected in our glowing Trustpilot and Google reviews.About the RoleWe are seeking a dynamic Senior Staff Software Engineer with extensive experience in building scalable ETL pipelines. You will tackle complex backend and data plumbing issues that connect our transactional systems (Datomic) with analytical and streaming infrastructures (BigQuery, Kafka, Flink, DBT). If you thrive on solving intricate architectural challenges using immutable data structures and functional programming, we want you on our team!

Lead Staff Software EngineerLocation: Hybrid - Palo Alto Office (Tuesdays and Thursdays)Your ImpactJoin our team at MidiHealth as a Lead Staff Software Engineer, where you will play a crucial role in shaping the future of women's healthcare technology. You will be a core technical leader within our engineering organization, translating intricate concepts into actionable technical roadmaps and innovative products that drive our mission forward.Your ResponsibilitiesEvaluate complex technical challenges and spearhead architectural assessments across teams, mitigating technical debt and fostering sustainable, cross-service patterns within Midi’s healthcare ecosystem.Serve as a 'part-time product manager for technology,' championing essential infrastructure enhancements to boost business agility.Design and implement high-quality, scalable products and code, ensuring a balance between swift execution and long-term scalability.Contribute actively to our engineering culture by establishing best practices for automated testing, CI/CD, and maintaining high code quality throughout our technology stack.Assess overarching technical and business challenges, crafting elegant solutions that support both scalability and business growth.Collaborate closely with Executive Leadership, Product, Marketing, and Clinical teams to uncover unmet customer and operational needs, translating these insights into effective technical strategies that enhance outcomes for our patients and clinicians.Mentor and guide both senior and junior engineers, nurturing a culture of curiosity, humility, and technical excellence.

About UsAt Vinci, we are revolutionizing simulation technology by combining a robust foundation model for physics with GPU-native solvers, achieving unmatched speed and accuracy in simulations. Our innovative approach eliminates the need for meshing and approximations, enabling engineers to execute thousands of simulations effortlessly and redefining the design and optimization of complex physical systems.Our dedicated teams utilize high-performance computing, secure networking, and seamless cloud integrations to expedite development processes. We are in search of a pragmatic full-stack engineer who is adept in managing customer-facing UIs, backend services, and native C++ integrations. This role demands a proactive individual who can deliver features end-to-end and take full ownership of customer interactions.Role SummaryThis hands-on full-stack position involves building and maintaining Python/gRPC services that interface with our C++ engines. You will be responsible for implementing UI enhancements for customer and internal applications and ensuring that features are accessible and user-friendly. The ideal candidate should be comfortable traversing the technology stack, proficient in delivering production-grade services, and eager to improve product usability and security for our customers.What You’ll DoDesign, develop, and manage Python-based microservices and gRPC APIs that expose native C++ engines and simulation/inference workflows.Execute small-to-medium UI modifications and collaborate with product/UX teams on customer-facing React applications (TypeScript/JS, HTML/CSS), from resolving bugs to adding new functionalities.Implement comprehensive application logic: validate requests, orchestrate jobs, ensure retries/idempotency, maintain transactional integrity, and develop SDKs/APIs for customers.Assist in designing and maintaining distributed systems: job partitioning, managing backpressure, implementing retries, ensuring observability, and autoscaling for services coordinating native compute resources.Debug and analyze performance across the stack — from frontend responsiveness and network requests to Python runtime and native C++ performance hotspots.Establish CI/CD pipelines and automated tests (unit, integration, end-to-end) covering backend, frontend, and native components.Engage in on-call rotations, incident management, and post-mortem analysis; maintain operational documentation and dashboards.Collaborate with product, QA, infrastructure, and customer success teams to ensure features are useful, secure, and thoroughly documented.Mentor fellow team members and contribute to code reviews and knowledge sharing.

The Application Modernization Platform (AMP) team is addressing one of the industry's most significant challenges: harnessing Generative AI to modernize rigid, legacy applications into agile, microservices-based architectures utilizing MongoDB. We are developing a comprehensive SaaS-like platform that integrates both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution demands a solid platform foundation and infrastructure tailored for a "build once, run anywhere" model, guaranteeing seamless operation regardless of client-specific security or network requirements. A crucial challenge lies in fine-tuning our tools for each customer's distinct tech stack and restrictive environments while ensuring they remain easily extensible and scalable for common application modernization challenges. We are in search of an engineering leader for this high-visibility initiative. This role involves defining the overarching strategy and technical direction across all AMP engineering pillars, spearheading the resolution of uniquely intricate application modernization challenges, and delivering a product of enterprise-grade quality. The leader will work to minimize deployment friction, meet compliance requirements, and contribute to the evolution of how global enterprises harness GenAI. The ideal candidate is a hands-on technical leader who excels in leveraging GenAI capabilities, architecting complex distributed systems, and designing orchestration agents that ensure the reliable and fluid execution of the entire software development lifecycle. We are particularly interested in candidates based in Palo Alto for our hybrid working model.

Mithril is building AI infrastructure to make GPU computing accessible for enterprises, AI startups, and research organizations. The company’s customers include LG AI Research, Saronic, and the Broad Institute. Mithril was founded by a former Google DeepMind research scientist and a Stanford CS PhD, and has raised $80 million in seed and Series A funding from Sequoia Capital, Lightspeed Venture Partners, and others. Platform revenue has grown more than sixfold in the past year. Fast Company recognized Mithril as the 8th Most Innovative Company in Artificial Intelligence for 2026. The team is transitioning from bare-metal operations to a cloud-native, multi-provider platform, introducing an auction and flexibility model. This is an opportunity to help shape the platform from its early stages. Role overview The Software Engineer - Technical Staff Member will work across three main areas: Consumption: Developer-facing product, billing, and API Platform: Orchestration and marketplace solutions Supply: Cloud provider integrations and capacity management Engineers at Mithril take on significant ownership, building features end-to-end that support critical customer workloads and drive revenue. The scope includes backend systems, marketplace logic, and customer interfaces. Architectural decisions here have a direct impact on Mithril’s growth and scalability. What makes this role unique This position blends deep systems work with product-facing challenges. Engineers contribute to the orchestration engine that manages GPU capacity across providers, as well as the interfaces customers use to reserve, bid, and utilize resources. The systems built in this role handle financial transactions, real workloads, and market mechanisms such as spot auctions, reservation pricing, and capacity allocation. For those interested in the mechanics of GPU infrastructure markets and building the technology behind them, this role offers direct involvement. Location This role is based in Palo Alto or the San Francisco Bay Area.

About Us At vinci4d, we are revolutionizing the hardware design landscape with our cutting-edge AI assistant, aimed at empowering engineers to accelerate their design iterations by a staggering 1000 times.Our innovative foundation model, driven by geometry and physics, is tailored for each category of part design.We are on the lookout for passionate individuals who thrive on product development to enhance our Minimum Viable Product (MVP).Your ResponsibilitiesAs a pivotal member of our team, you will design and develop the essential pipelines and tools that transform our vision into reality. Your contributions will significantly expedite our development processes by facilitating smooth transitions from code development to deployment. Key responsibilities include:Enhancing product features for scalability and developing advanced APIs to support intricate engineering workflows.Establishing and integrating LLM or VLM infrastructure.Implementing an MLOps framework for training deep learning models using geometry and physics data.Collaborating with early customers and design partners to strategize and prioritize the development roadmap.Building and deploying critical product features.Gaining invaluable experience while creating products that resonate with engineers, and learning about the entrepreneurial journey.QualificationsA minimum of 6 years in developing and delivering features within the high-performance computing domain.Expertise in C++, Python, or any relevant language necessary for system setup, along with familiarity with tools such as gRPC, Protocol Buffers, Docker, Kubernetes, and Bazel.Experience with cloud computing for data generation, scraping, and assisting data science teams in model training with MLOps is a plus.CUDA experience is desirable but not mandatory.Frontend development experience is a bonus.Prior experience in a startup environment will be highly valued.You’ll Thrive in This Role If YouAre enthusiastic about entrepreneurship and the process of transforming ideas from concept to reality.

About ALSO.At ALSO, we are pioneers in electric mobility, originally nurtured as part of Rivian. Our dedicated team of creators, innovators, and visionaries is committed to revolutionizing urban transportation through the development of innovative, vertically integrated small electric vehicles (EVs). We aim to tackle the mobility challenges of today and tomorrow by inspiring individuals to choose ALSO, thus replacing traditional car, truck, and SUV journeys with more affordable, enjoyable, and significantly efficient alternatives.We are currently seeking a Senior Staff Systems Engineer who will be instrumental in shaping and supporting the requirements and feature development for our cutting-edge electric mobility vehicles!Your ResponsibilitiesLead the architectural design and requirements development for a cross-functional micromobility vehicle platform, collaborating with Electrical Engineering, Firmware, and Product Design teams, ensuring seamless alignment from conceptualization through to validation.Act as the primary technical liaison between customers and ALSO leadership, capturing product intent and translating it into coherent system artifacts such as user stories, CONOPS, and use cases.Establish and manage requirements at the system, subsystem, and hardware module levels, working closely with internal stakeholders in areas such as:Low-voltage electronicsBattery and energy storage systemsDrivetrain and actuatorsConnectivity and telematicsHuman–Machine Interfaces (HMI)Sensor systemsEnsure comprehensive end-to-end traceability across user stories, features, system requirements, subsystem requirements, and verification/validation test cases.Develop and maintain system architectures for distributed embedded controllers, including interface definitions, communication protocols, functional decomposition, fault detection, and system-level robustness.Collaborate effectively with software engineers, electrical engineers, product designers, product managers, and UI/UX teams to drive CONOPS, activity diagrams, feature design, development, and validation.

About the Role Join MongoDB as a Senior Staff Engineer focusing on Quote-to-Cash (QTC) operations, where you will architect, optimize, and scale our comprehensive Q2C architecture integrating Salesforce CPQ, Malbek CLM, and NetSuite ERP. In this pivotal role, you will serve as the essential link between Sales, Legal, Finance, and IT, taking ownership of a seamless transaction process from quote and contract creation through billing, revenue recognition, and cash application. This position demands extensive expertise in Salesforce CPQ, a solid grasp of NetSuite financial procedures, and proficiency in integrating CLM systems to deliver an automated, compliant, and auditable QTC experience.

Join Nubank as a Staff Software Engineer and become a key player in transforming the financial landscape. As part of our innovative team, you will design, develop, and maintain robust software solutions that drive our mission of providing accessible financial services.

Role Overview Latitude is looking for a Senior Software Engineer focused on Test Infrastructure. This role centers on strengthening testing frameworks to help deliver reliable software. The position is available in Pittsburgh, PA, Palo Alto, CA, or Detroit, MI. What You Will Do Work closely with teams across engineering, product, and QA to support development efforts. Design, build, and maintain test infrastructure that supports software quality. Help improve and extend frameworks used for automated and manual testing.

Join Mudflap, a pioneering force in the $800 billion trucking industry, where our innovative payment solutions empower truckers to save significantly on fuel costs—their largest operational expense. We connect fuel stop partners with new customers, creating a vibrant marketplace that is rapidly expanding. We are actively seeking a customer-focused Senior Software Engineer to help us shape our exciting future.As a Senior Software Engineer specializing in Data Platforms, you will be instrumental in constructing a robust data infrastructure that ensures reliable and scalable data flow throughout Mudflap's systems. Your contributions will be vital in designing and managing the frameworks and services that facilitate efficient data ingestion, processing, and accessibility on a large scale.In this role, you will architect and develop high-performance platform systems that drive data ingestion, orchestrate pipelines, and manage large-scale processing. Your efforts will lay the groundwork for high-availability data systems that empower Mudflap's teams to operate with speed and confidence.This position is based in the Bay Area and offers a hybrid work model, allowing for a blend of in-office collaboration and remote work.

About Hippocratic AI Hippocratic AI builds generative AI technology for healthcare. The company’s platform enables safe, autonomous clinical conversations with patients, using proprietary large language models (LLMs) within the Polaris constellation. Their models have achieved an accuracy rate exceeding 99.9%. What Sets Hippocratic AI Apart Mission-driven impact: The team is developing the first healthcare-specific, safety-focused LLM, aiming to improve patient outcomes globally. Expert leadership: Co-founded by CEO Munjal Shah, the company brings together physicians, hospital leaders, AI researchers, and technologists from organizations such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Strong financial backing: Hippocratic AI recently raised $126M in Series C funding at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Collaboration with top talent: Work alongside leaders in healthcare and AI who focus on advancing care, science, and technology. Location Requirement This role is based on-site in Palo Alto. Presence in the office is required five days a week to support close collaboration and a strong team culture, unless otherwise noted. Role Overview: Senior Staff AI Engineer The Senior Staff AI Engineer will lead the technical strategy for voice-driven generative AI in healthcare. This position designs and builds core platforms that power clinically safe healthcare agents, integrating large language models, real-time voice systems, and human-centered product design. As one of the most senior individual contributors at Hippocratic AI, this engineer will drive initiatives in areas such as retrieval-augmented generation (RAG), agent orchestration, evaluation, real-time voice technology, and safety. Responsibilities include partnering with the executive team, AI researchers, product managers, and clinical experts. The Senior Staff AI Engineer also mentors Staff and Senior engineers, shapes architectural decisions for future platform generations, and represents Hippocratic AI in research and healthcare forums. The work directly influences patient care and the evolution of healthcare AI.

Join us in a hybrid work setting at our Palo Alto office, where you'll be expected to work on-site every Tuesday and Thursday.Why is this role exciting?Become an integral part of the iOS development team at Grindr as we build the future of our app! You will tackle complex challenges, engage with cutting-edge technology, collaborate with a supportive and talented team, and help us maintain our position as the leading social media platform for the LGBTQ community.What will you do?Collaborate with a diverse, cross-functional team across various time zones to enhance the Grindr user experience.Navigate multiple projects while embracing ambiguity to foster innovative, high-level thinking.Drive innovation by leveraging data-driven insights to integrate new technologies, architectures, and workflows.Enhance your team's technical skills by introducing new tools and methodologies.Utilizing Swift, Xcode, RxSwift, Combine, Async/Await, SwiftUI, Bitrise, Fastlane, and GitHub, you will evolve and maintain our software architecture to meet current and future demands for consumer-facing mobile products, supporting our product roadmap.What we appreciate in youYou are a proactive leader who takes initiative and can drive change across the organization.You possess a minimum of 6 years of experience in developing complex iOS applications.Your technical expertise inspires creativity and innovation among your peers.You have a strong background in product leadership and technical decision-making, skillfully balancing product needs with code quality.You have experience collaborating with various business stakeholders, including c-suite executives and VPs.You can dive deep into coding while also mentoring your team on long-term projects.A solid understanding of software engineering best practices and design patterns such as MVVM, Coordinator, and one-way data flow is essential.

Join the Team at ALSOAt ALSO, an innovative electric mobility company that emerged from Rivian, we are a dynamic group of creators, innovators, and problem solvers. Our focus is on designing groundbreaking electric vehicles (EVs) that are not only affordable and enjoyable to ride but also significantly more efficient than conventional vehicles—helping to tackle the mobility challenges of today and tomorrow.We are currently seeking a Senior Staff Electrical Engineer, Vehicle Architecture to spearhead the development of advanced electronic systems for our micromobility platforms.Your Role and ResponsibilitiesLead the electrical architecture design for our micromobility platforms, focusing on power distribution, energy storage, computing, sensors, lighting, safety systems, and connectivity modules.Create and define vehicle block diagrams, interfaces, and design standards that promote modularity and facilitate reuse across different vehicle lines.Analyze performance, cost, reliability, and regulatory compliance trade-offs to optimize system design.Provide strategic technical direction to systems, electrical, firmware, and cable harness engineering teams.Champion design for manufacturability, reliability, serviceability, and safety from initial concept through to production.Conduct design reviews and ensure adherence to architectural standards throughout the product lifecycle.Collaborate with mechanical, firmware, and manufacturing engineers to seamlessly integrate electrical systems into our vehicle platforms.Engage with suppliers and technology partners to assess and qualify new components and subsystems.Work closely with product management to align architectural strategies with business objectives and market trends.Stay abreast of emerging technologies in batteries, connectivity, sensors, and multimedia systems to inform our future product roadmaps.Benchmark competitor products and drive ongoing enhancements in efficiency, safety, and overall user experience.Provide regular updates on program status during team meetings and to leadership.

Role overview Speechify seeks a Senior Software Engineer to join the Core Experiences team in Palo Alto, CA. The focus of this position is to build and enhance audio-driven features that allow users to get more value from the platform. What you will do Collaborate with fellow engineers to design, develop, and maintain applications supporting Speechify’s main features. Create solutions aimed at boosting performance and responsiveness throughout the platform. Offer technical insight and ideas to influence the ongoing evolution of the user experience. Location This role is based in Palo Alto, CA, USA.

Senior Software Engineer, Infrastructure About Ladder At Ladder, we identified a significant issue in the life insurance sector: the lengthy application process, the excessive paperwork, and the numerous in-person meetings with agents. Motivated by personal loss, our CEO, Jamie, set out to simplify the process of obtaining essential coverage for families. We innovated real-time underwriting using AI, transforming the months-long life insurance application into a matter of minutes. Our user-friendly digital experience ensures instant decisions and has garnered exceptional user reviews, with over $74 billion in coverage issued. About the Role We are in search of a Senior Software Engineer who will enhance developer productivity within Ladder's engineering team. You will take charge of modernizing our CI/CD pipelines, build systems, and developer tools, while also contributing to the robustness of our cloud infrastructure and data platform. The ideal candidate will possess a proven track record in software engineering, demonstrate leadership qualities, and have a thorough understanding of engineering infrastructure. This position is remote, available in any of the 22 states where Ladder is hiring: AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI. Please note that Ladder is not sponsoring or transferring OPT or H1-B visas at this time. How You’ll Make a Difference As a senior engineer in our team, your responsibilities will extend beyond coding; you will influence our platform strategy. Your contributions will include: Enhancing developer velocity across the engineering organization by measuring and optimizing the developer workflow, which encompasses build times, test parallelization, deployment speeds, and daily tooling. Shaping the architecture of Ladder’s production infrastructure by evaluating design trade-offs and making impactful technical decisions, such as transitioning from custom monitoring tools to native cloud provider integrations or redefining data pipeline rebuild processes in response to upstream logic changes. You will have the insight to see the holistic view across systems and determine where to allocate engineering resources effectively. Engaging in incident response for infrastructure issues, leading retrospectives, and ensuring actionable follow-through on resolutions.