Android Engineer, Applied Foundations

About the TeamAt OpenAI, our Applications Engineering organization is at the forefront of transforming groundbreaking research into user-friendly products that reach millions globally. The Applied Foundations team is pivotal, managing the essential product and platform layers that enable seamless user experiences—from identity and access management to safety…

Join DoorDash Labs, a pioneering team dedicated to innovating the future of last-mile logistics through cutting-edge robotics and automation. As a Robotics Software Engineer on our Drone Delivery team, you will play a vital role in transforming delivery experiences for millions. This position invites you to harness your expertise in UAV technology to develop and implement sophisticated systems that operate in real-world environments. Collaborate with a dynamic team to push the limits of innovation and bring advanced aerial delivery solutions to life.

About the RoleAs a Software Engineer specializing in Robotics Controls, you will take charge of the software that drives our robotic systems. Your role will involve close collaboration with machine learning teams to transform intended actions into smooth, efficient, and safe movements across various robotic embodiments. You will work alongside hardware engineers and partners to ensure optimal performance of systems, dynamics, and components.Key Responsibilities:Develop, implement, and rigorously test the complete real-time control system, ranging from low-level firmware to specifications for each robotic embodiment.Manage various robotic embodiments, from standard industrial collaborative robot arms to custom-designed hardware.Ideal Candidate Profile:Extensive knowledge in rigid body kinematics and robotic control systems.Proven experience in deploying robots in production environments with high reliability standards.Proficiency in high-performance, production-ready programming using Python and C++.Familiarity with kinematics and simulation libraries.Experience with robotic middleware frameworks such as ROS/ROS2/ZCM.

At Sciforium, we are at the forefront of AI infrastructure, innovating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial funding and direct collaboration from AMD, supported by their engineers, our team is rapidly expanding to develop the complete stack that powers cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented GPU Kernel Engineer who is eager to explore and maximize performance on modern accelerators. In this role, you will be responsible for designing and optimizing custom GPU kernels that drive our advanced large-scale AI systems. You will navigate the hardware-software stack, engaging in low-level kernel development and integrating optimized operations into high-level machine learning frameworks for large-scale training and inference.This position is perfect for someone who excels at the intersection of GPU programming, systems engineering, and state-of-the-art AI workloads, and aims to contribute significantly to the efficiency and scalability of our machine learning platform.Key ResponsibilitiesDevelop, implement, and enhance custom GPU kernels utilizing C++, PTX, CUDA, ROCm, Triton, and/or JAX Pallas.Profile and fine-tune the end-to-end performance of machine learning operations, particularly for large-scale LLM training and inference.Integrate low-level GPU kernels into frameworks such as PyTorch, JAX, and our proprietary internal runtimes.Create performance models, pinpoint bottlenecks, and deliver kernel-level enhancements that significantly boost AI workloads.Collaborate with machine learning researchers, distributed systems engineers, and model-serving teams to optimize computational performance across the entire stack.Engage closely with hardware vendors (NVIDIA/AMD) and stay updated on the latest GPU architecture and compiler/toolchain advancements.Contribute to the development of tools, documentation, benchmarking suites, and testing frameworks ensuring correctness and performance reproducibility.Must-Haves5+ years of industry or research experience in GPU kernel development or high-performance computing.Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related discipline.Strong programming proficiency in C++, Python, and familiarity with machine learning frameworks.

Join a transformative healthcare technology company that is revolutionizing care delivery across America. Our client focuses on addressing one of the most significant coordination challenges in healthcare by developing an AI-driven platform designed to enhance caregiving workflows, boost patient outcomes, and alleviate administrative burdens for both providers and payers. Their groundbreaking solutions span across home care, senior living, hospice, and disability services, crafting a seamlessly connected and efficient distributed healthcare system.In an industry where caregiving represents the largest job market in the U.S., the current system still relies on outdated methods like sticky notes and spreadsheets, leading to delays and inefficiencies. Families often wait weeks for assistance, patients miss essential visits, and caregiver turnover is alarmingly high at 65% annually.They are constructing the AI coordination layer for care—developing intelligent agents that navigate complexities, support caregivers, and transform disjointed workflows into dependable systems. Their initial focus on home care is set to expand into senior living, hospice, disability, and more, ultimately serving as the connective framework for a decentralized healthcare network.This platform offers payers real-time visibility across fragmented provider networks, ensuring members receive timely and appropriate care while minimizing costs and administrative strain.This isn’t merely about creating better software; it’s about building a new infrastructure that has never been possible until now. They are searching for passionate builders dedicated to tackling one of the world's most complex and impactful coordination challenges.As a Full-Stack Software Engineer, you will play a pivotal role in shaping the future of healthcare technology. You will be at the forefront of ambitious product initiatives, taking ownership of the development of essential features such as EHR integrations, intelligent workflows, and advanced voice AI infrastructure. Your contributions will directly drive revenue growth by facilitating customer onboarding and expanding contract opportunities with innovative use cases.We seek a proactive, high-ownership individual who is adept at building exceptional products, thrives in a fast-paced environment, and is eager to engage at the intersection of healthcare and AI.

ABOUT SPHEREAt Sphere, we believe that transformative advancements in trade infrastructure drive market expansion and reduced transaction costs. Just as containerization revolutionized goods transport and SWIFT transformed money transfers, we are tackling one of the last frontiers: compliance. With over 190 sovereign jurisdictions constantly evolving and interacting, navigating trade rules is a complex challenge.Our cutting-edge AI system, TRAM, intelligently processes global trade law, expertly resolves jurisdictional conflicts, and delivers compliance determinations that outperform human experts. We manage the entire compliance lifecycle—calculation, registration, filing, and remittance—with unmatched speed and reliability.Backed by a16z and Y Combinator. With a $21M Series A funding round and over 30% month-over-month growth, our esteemed clientele includes ElevenLabs, Replit, Deel, Runway, and Lovable.A small, agile team with a global impact. Each team member possesses ownership over a domain that would represent an entire team at a larger company. We operate out of our San Francisco HQ, requiring in-office presence five days a week.The challenge is continuously evolving. As we expand into areas such as input tax, withholding, e-invoicing, and tariffs, the complexity multiplies. Today, we handle tens of millions of transactions, with billions on the horizon.THE ROLECustomer experience (CX) is pivotal at Sphere. Trust is paramount when it comes to managing payments and tax obligations for our clients. Every aspect of the user experience—from modals and buttons to exports—must be executed flawlessly. Would you trust a payment platform filled with bugs and inconsistencies?We are seeking a passionate founding product engineer to enhance our CX, elevate it to new heights, and contribute to the development of innovative features and products aligned with our roadmap.In this role, you will work closely with customers, collaborate with our design and engineering teams, and engage directly with our CEO and Founder to actualize Sphere’s vision of creating a unified global market.WHAT YOU'LL DOWithin your first few weeks:Engage with numerous customers to identify their core pain points and prioritize features that address their needs.Collaborate intensively with design teams to bring those features to fruition.Consistently execute and launch features from start to finish on a daily basis.Participate in customer support as needed to deepen your understanding of our users and their challenges.

Join Rockstar, a pioneering company dedicated to revolutionizing enterprise accounting by leveraging powerful integrations, intuitive design, and AI-driven automation. Our platform consolidates processes into a user-friendly interface, allowing accounting teams to focus on strategic, high-value tasks while reducing resource consumption.Our team comprises elite engineers and finance professionals from prestigious firms like Robinhood, Bolt, EY, Facebook, Twitter, Netflix, Amazon, Google, and Airbnb. With extensive industry experience, we are reshaping the way businesses handle their financial management.Backed by prominent Silicon Valley investors, we have successfully raised the largest seed round in our category, enabling us to launch a fully operational product and onboard several major clients.As an AI Deployment Engineer, you will:Collaborate with account executives to navigate complex deal cycles involving multiple stakeholders.Oversee and execute technical proof-of-concept (POC) processes.Optimize prompts and models to ensure optimal AI performance for our clients.Develop custom modules to facilitate successful client launches.Create and present tailored demonstrations based on customer business needs.Draft a comprehensive implementation scoping document for each customer.Integrate with various transaction systems, including revenue, billing, and accounts payable.Engage in customer-facing activities, including technical discovery calls.Collaborate with product and engineering teams to fulfill customer requests and advocate for their needs.Troubleshoot, debug, and enhance software to maintain reliable and robust performance in production environments.Provide ongoing technical support and maintenance for deployed solutions.Your qualifications include:Minimum of 2 years of experience in forward deployment engineering, sales engineering, implementation engineering, or solution engineering.Bachelor’s degree in any engineering discipline; computer science preferred but not mandatory.Excellent verbal and written communication skills, with the ability to effectively interface with customers.Self-motivated and proactive mindset.Capability to thrive in a high-pressure, fast-paced startup culture.Proficiency in programming languages such as Golang, Typescript, and Python.Adept at identifying customer needs and delivering innovative solutions.Experience collaborating with Account Executives on technical sales processes for Enterprise customers.

About xdofAt xdof, we are pioneering the foundational technologies for the next generation of general-purpose robotics. As research and development in robotics accelerate, we offer cutting-edge data collection systems, operational capabilities, a massive exabyte-scale data warehouse, and a sophisticated software toolchain that drive these innovations. Become a part of our team and contribute to scaling the essential infrastructure that supports advanced robotics.About the RoleWe are on the lookout for an independent and adaptable Engineering Technician to assist in the development of new data collection technologies. This role involves building, deploying, debugging, and maintaining vital data collection stations.ResponsibilitiesFabricate and assemble aluminum extrusion work tables and fixtures.Operate and maintain 3D printers, ensuring proper setup, calibration, and troubleshooting.Conduct post-processing of 3D printed components, including cleaning, support removal, finishing, and quality inspection.Comfortably solder PCBs, data/power connectors, and splice wires.Construct and organize durable wire harnesses.Interpret technical drawings, assembly instructions, and wiring diagrams effectively.Collaborate with engineering teams to troubleshoot and enhance processes.Debug and repair robotic systems as necessary.RequirementsProficient with power tools, including miter saws, band saws, and drill presses.Experience with FDM 3D printing setup, post-processing, and maintenance.Knowledge of electrical harnessing techniques.Proficient in soldering.Skilled in crimping (RJ45, Molex, JST, etc.).Excellent communication skills.Preferred QualificationsFamiliarity with CAD software, particularly Onshape.Experience with SLA or other additive manufacturing processes.Hands-on experience with manual mills or lathes.Basic software knowledge.What We OfferCompetitive compensation with career advancement opportunities.Comprehensive health and wellness benefits.Flexible work arrangements.A collaborative and dynamic work environment.The opportunity to influence the future of robotics and AI.

Join us at Adyen as a Staff Engineer specializing in Financial Products, where you will play a critical role in shaping the future of payment solutions. As part of our dynamic team in San Francisco, you will leverage your engineering expertise to develop innovative financial products that enhance our clients' experience.

Join Figma as a Software Engineering Manager specializing in Observability. In this pivotal role, you will lead a dynamic team of engineers in developing cutting-edge solutions that enhance visibility and performance across our platform. Your expertise will drive the design and implementation of observability tools that empower our engineering teams to optimize their workflows, ensuring the robustness and reliability of our applications.

Join Cloudflare as a Principal Software Engineer specializing in Resiliency, where you will play a pivotal role in enhancing our systems' robustness and availability. Your expertise will contribute to building and maintaining resilient infrastructure that supports our global network, ensuring our customers receive uninterrupted service.In this role, you will work alongside a talented team of engineers to identify vulnerabilities, implement solutions, and innovate new strategies that enhance system performance and reliability. If you are passionate about software engineering and system resiliency, we invite you to apply!

Join Cloudflare as a Systems Engineer focusing on Metrics and Alerting to enhance our platform's capabilities. As part of our innovative team, you will be responsible for developing systems that monitor and alert on key performance metrics, ensuring seamless operations and improved user experiences. We value creativity and encourage you to bring your unique insights to our collaborative environment.

Join our innovative team at alljoined as a Data Infrastructure Engineer where you will play a pivotal role in shaping our data architecture and ensuring the reliability and efficiency of our data systems. You will collaborate with cross-functional teams to design and implement scalable data solutions that empower data-driven decision-making.

About Sprinter Health:At Sprinter Health, we are dedicated to transforming healthcare access by delivering essential services directly to patients in the comfort of their homes. A staggering 30% of patients in the U.S. forgo preventive or chronic care due to transportation challenges, often resulting in costly emergency room visits that contribute to over $300 billion in avoidable healthcare expenses annually.Utilizing cutting-edge technologies that drive leading marketplace and last-mile delivery solutions, we ensure that care reaches those who need it most. To date, we have successfully served over 2 million patients across 22 states, conducted more than 130,000 in-home visits, and achieved a remarkable Net Promoter Score (NPS) of 92. Supported by our talented team of clinicians, technologists, and operational experts, we have raised over $125 million from esteemed investors including a16z, General Catalyst, GV, and Accel, ensuring a strong multi-year runway for our mission.About the Role:The Growth Engineering team at Sprinter Health plays a vital role in enabling patients to access our free in-home care services, particularly for underserved communities. Your primary responsibility will be to facilitate patient engagement and simplify the booking process, transitioning from traditional outbound phone outreach to a more integrated, product-driven approach.This position offers a unique opportunity to make a significant impact on the healthcare journey for many individuals, as you will be instrumental in creating systems that ensure timely access to care.Office Location:Our company operates in a hybrid work environment, with offices in San Francisco and Menlo Park. We prioritize work-life balance and recognize the importance of flexibility in our employees' lives.

We are seeking a motivated and detail-oriented Hardware Systems Engineer I to join our innovative team at Crusoe. In this role, you will contribute to the design, implementation, and optimization of advanced hardware systems. You will work closely with cross-functional teams to ensure the successful integration of hardware solutions into our growing infrastructure.

Why Join AngelListAt AngelList, we tackle some of the most challenging issues in venture capital and private markets. Our team is driven by precision, urgency, and a vision for the future. If you're passionate about transforming the startup funding landscape, this is your opportunity.About AngelListOur mission is to fuel innovation by enhancing the success rate of startups globally. We achieve this by creating the financial infrastructure that facilitates investment in transformative companies. AngelList stands at the intersection of venture capital and the startup ecosystem, supporting over $171 billion in assets and facilitating investments in more than 13,000 startups, including over 300 unicorns. With 57% of premier U.S. VC deals involving AngelList investors, we are ambitious in our goals.If you are excited about shaping the future of private markets, we invite you to join our journey.About the Role: As a Staff Software Engineer for our Nova platform, you will be pivotal in defining and designing our development processes. You will be responsible for establishing the domain model and architectural patterns that will guide our engineering team. If you are a catalyst who can empower a team of eight to perform like a team of twenty by establishing clear patterns, embedding engineering context into our codebase, and driving vital initiatives forward, we want to hear from you.

About Loop Loop is committed to unlocking profits trapped in the supply chain while reducing costs for consumers. Inefficient workflows and bad data create friction that hampers working capital and increases expenses for all stakeholders in the supply chain. Our cutting-edge audit and payment platform utilizes domain-driven AI to simplify the complexities associated with supply chain data and documentation. By enhancing visibility into transportation expenditures, we empower companies to manage costs and boost profitability. This is why renowned industry leaders such as J.P. Morgan Chase, ABB, Tyson Foods, and Estée Lauder partner with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Flexport, and numerous industry-leading angel investors. Our team boasts expertise from esteemed organizations like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry stalwarts like C.H. Robinson. About the Role We are seeking an Enterprise Solutions Engineer to work collaboratively with Sales, Engineering, and Customer Success teams to ensure a smooth technical closing and implementation process for clients. This position involves designing and configuring complex workflows, serving as a primary contact for client implementations, orchestrating data integration, and bridging processes between the client's systems and Loop's proprietary platform. The Solutions Engineer collaborates with operations and sales teams to ensure that proposed deals include technical solutions that accurately meet client requirements and have the backing of key technical decision-makers. You will provide onsite and virtual support for client implementations, delivering technical expertise as an extension of the Sales and Customer Success teams. Key Responsibilities Facilitate project management for solution scoping and implementations, including but not limited to: Leading kick-off calls: remote (sometimes onsite) sessions to introduce the Loop solution. Coordinating integration solutions with internal stakeholders across a variety of commercial and legacy client systems. Overseeing integrations between Loop and the client's external software systems (TMS/ERP) with guidance from the Integrations Engineer, including schema mapping. Conducting tailored product demonstrations for prospective clients, acting as the product expert in pre-sales discussions. Defining use cases aligned with Loop’s product and roadmap. Collaborating with sales and operations teams to inform the cost structure for client proposals.

Supported by prominent Silicon Valley investors, Peregrine Technologies empowers public safety organizations, state and local governments, federal agencies, and private-sector institutions to address societal challenges with unparalleled speed and precision. Our AI-driven platform transforms fragmented and isolated data into actionable operational intelligence, quickly surfacing mission-critical information to facilitate informed and timely decisions that enhance outcomes across various contexts. Currently, Peregrine serves hundreds of customers across more than 30 states and two countries, impacting over 125 million individuals—and we are amplifying our influence as we expand into enterprise markets and internationally.Our TeamAs an engineering team, we place a strong emphasis on empathy, believing it enhances our solutions. Understanding how users interact with our product is essential, and engineers will collaborate closely onsite to grasp the diverse use cases that Peregrine addresses.We are seeking a Staff Software Engineer to join our core engineering teams. In this role, you will collaborate cross-functionally with design and product management to develop robust, scalable, and user-centric systems. Our teams confront a variety of challenges, from enabling real-time user collaboration on intricate maps to constructing high-scale backend architectures capable of processing billions of data points.We value ownership and teamwork; you will take complete responsibility for significant features and work closely with fellow engineers to ensure successful completion. We believe that humility and empathy are vital for crafting the right solutions—you will work directly with our deployment team and users as we refine our offerings to meet their needs. Creativity and perseverance will be key to executing our vision.RoleWe are looking for a Staff Software Engineer to join our expanding team, lead impactful projects, cultivate an inclusive team culture, and steer technical decision-making.This position is ideal for someone who excels in both people management and hands-on technical leadership. You will build a high-performing team, guide them through complex technical challenges, and ensure their work aligns with our business goals. The ideal candidate will effectively mentor while upholding high standards in technical execution.You will drive significant work that delivers value to our customers, from supporting emergency responders during hurricanes to de-escalating intricate organized crime situations. We are developing innovative capabilities that enable...

About Vapi:Join us in revolutionizing voice technology as the primary interface for human interaction.We provide the most versatile platform for deploying voice agents.In just two years, we have welcomed over 600,000 developers, with an addition of 2,000 new developers daily.Engage with Vapi today!Why This Role is Important:We receive a feature request every 30 minutes.We are on the lookout for a talented Product Engineer to help us deliver even more innovative solutions.Your Responsibilities:First 30 Days: You will familiarize yourself with our voice agent pipeline, a challenging yet rewarding experience.Next 60 Days: You will take ownership of major projects, such as developing WhatsApp voice agents or implementing auto reinforcement learning loops.After 90 Days: You will engage with customers and design lasting APIs that exceed their expectations.Who You Are:You have experience from Series B to F funding rounds.You have a track record of creating impressive products that we admire.Bonus: You have founded your own startup.Why Choose Vapi:Generational Impact: Help build the human interface for all businesses.Ownership Culture: 70% of our team members are former founders.Supportive Team: Our founders, Jordan and Nikhil, bring a warm Canadian spirit to our workplace.Prestigious Investors: Backed by Y Combinator, KP Seed, and Bessemer Series A.What We Offer:Equity and Compensation: We provide a competitive salary and substantial equity ownership.Health Benefits: Comprehensive medical, dental, and vision coverage.Team Culture: We enjoy team bonding activities, including quarterly off-site events.Flexible Time Off: Take the time off you need.Additional Perks: Enjoy catered meals, transportation support, gym memberships, and an annual $10,000 learning and development budget.

Join Skip in our mission to create joyful experiences through powered movement.Movement is essential for enhancing physical, mental, and social well-being. However, over 2 billion people struggle with mobility due to age, injury, or disability. At Skip, we are committed to developing innovative products that will restore mobility to millions, allowing everyone to enjoy an active lifestyle.Founded in 2023 as a spin-off from Google X, Skip is a dynamic team of 23 passionate individuals. With extensive cross-disciplinary knowledge and strategic partnerships, such as with Arc’teryx, we are poised to launch our groundbreaking wearable robotic device, the MO/GO, and create a platform for future Movewear products that will revolutionize lives.POSITION OVERVIEW:We are looking for a dedicated and flexible Product Design Engineer to tackle challenges in creating the next generation of wearable robotic devices for everyday use.As part of our talented team, you will take ownership of detailed designs that are ready for scaling, manufacturing, and distribution. Our flat organizational structure means your contributions will directly impact product development, starting in an individual contributor role.Key Responsibilities:Lead the development of core CAD designs for essential sub-assemblies, covering architecture, design optimization, manufacturability, tolerance analysis, implementation, testing, and commercialization.Manage vendor relationships, including potential travel to Asia, and oversee continuous cost-reduction initiatives.Translate product requirements into engineering specifications, collaborating across functions.Select appropriate materials and manufacturing processes to meet product performance and durability criteria.Facilitate cross-functional design reviews.Develop specifications, requirements, and testing protocols to verify functionality, safety, and design efficacy.Prepare technical documentation and assembly instructions to ensure clear guidance on manufacturing and usage.