Audio Systems Engineer

About the TeamJoin the dynamic Consumer Devices team at OpenAI, where we revolutionize the integration of AI into tangible products. Our team is at the forefront of innovation, developing comprehensive hardware and software systems that merge custom silicon, embedded solutions, operating systems, and cloud technologies to create scalable, reliable devices ready for production.About the RoleWe are in search of a passionate Operating Systems Engineer to fortify the operating system foundations for OpenAI's groundbreaking products. This role is ideal for seasoned developers who excel at creating foundational platform software and tackling complex challenges related to security, privacy, performance, power efficiency, and reliability. Your expertise will span the OS kernel, core services, security and privacy frameworks, performance optimization, and the integration of applications and user interfaces with the system. This position emphasizes in-depth debugging and accountability throughout the development cycle.Collaboration will be essential as you work closely with teams from embedded systems, firmware, hardware, applications, and product engineering. Familiarity with hardware bring-up is advantageous but not mandatory.What You Will DoContribute to comprehensive OS functionalities, including kernel, userspace services, application frameworks, UI toolkits, and APIs.Develop, integrate, and sustain OS components, which encompass scheduling, memory management, filesystems, drivers, IPC/RPC, and security-related subsystems.Build and manage core OS services and daemons such as service management, device discovery, networking, time management, logging, update hooks, and crash handling.Design and implement robust security and privacy mechanisms:Integrate secure boot and measured boot processes as applicable.Implement mandatory access controls and sandboxing.Manage secrets, secure storage, key handling, and design systems with least-privilege principles.Develop privacy-preserving telemetry and user-consent-driven system behaviors.Establish a performance and power management discipline:Conduct instrumentation, profiling, and regression detection for boot time, latency, throughput, and memory usage.Implement workflows for power measurement, battery and thermal-aware tuning, and strategies to prevent energy regression.

About the Role OpenAI is hiring a Software Engineer for the Engineering Acceleration team, working on Consumer Devices in San Francisco. This team builds and improves products that shape how people use technology in daily life. The role involves developing new features and strengthening existing systems for consumer-facing devices.

About the Role OpenAI is hiring a Software Engineer to work on Infrastructure for Consumer Devices in San Francisco. This position centers on building scalable systems that support and improve the experience of users interacting with AI-powered devices. What You Will Do Design and develop infrastructure for consumer-facing devices Work on systems that directly impact how users interact with AI technology Apply technical expertise to create solutions that scale as usage grows

Role overview OpenAI seeks a Graphics Software Engineer to influence the graphics features of its consumer devices. The position focuses on developing and refining graphics algorithms that enhance the experience for users of new hardware products. What you will do Create and implement graphics algorithms tailored for consumer hardware. Collaborate with engineering teams to add graphics features that improve product usability and engagement. Use expertise in software development and graphics programming to address complex technical problems. Location This role is based in San Francisco.

About Our TeamThe Future of Computing Research team is a dynamic applied research unit within the Consumer Devices group at OpenAI. We are dedicated to pioneering innovative methods, models, and evaluation frameworks that propel our vision for the future of computing. Our focus lies at the cutting edge of multimodal AI, transforming emerging model capabilities into product experiences that are not only functional and enjoyable but also foster long-term trust.Our research delves into a new generation of AI systems capable of learning and evolving over time, adapting to individual needs, and enhancing daily life. This includes exploring long-term memory, user modeling, and personalized systems aligned with broader human goals, values, and overall well-being.We collaborate closely across multiple disciplines—research, engineering, design, product management, and safety—to define what it means to build AI systems that recognize and respond to user needs in a contextually aware and respectful manner, ensuring demonstrable benefits.About the PositionWe are seeking a passionate Research Engineer/Scientist to join our Future of Computing Research team, focusing on Reinforcement Learning from Human Feedback (RLHF) and post-training techniques for personalized multimodal AI systems.In this role, you will be instrumental in establishing the learning and evaluation foundations necessary for models to become increasingly context-aware, adaptive, and useful over time. You will tackle challenges such as reward modeling, preference learning, long-horizon evaluation, and policy improvement for systems that are required to make high-quality behavioral decisions in real-world settings. Our success is measured not just by improved benchmark performance but by enhanced model behavior in actual use cases.The ideal candidate is enthusiastic about advancing beyond simplistic one-turn assistant interactions towards systems that learn and grow through feedback, utilizing richer signals and training against meaningful notions of user value. This requires a thoughtful approach to reward design, feedback mechanisms, and evaluation frameworks that assess the long-term benefits of interventions.This position is based in San Francisco, CA, with a hybrid work model of four days in the office each week. We also provide relocation assistance for new hires.Key Responsibilities:Develop RLHF and post-training strategies for multimodal models.Create reward models and preference-learning pipelines to foster adaptive, personalized model behavior.Engage in long-term evaluation and policy refinement to enhance user interactions.

Join Our TeamThe Future of Computing Research team is part of the Consumer Devices division at OpenAI, dedicated to pioneering innovative methods and models that align with our mission to develop AGI that benefits humanity as a whole.Your RoleAs a Research Engineer/Scientist on our team, you will collaborate with world-class ML researchers and exceptional design experts to expand the limits of model capabilities.This position is located in San Francisco, CA, following a hybrid work model with four days in the office each week. We provide relocation assistance for new hires.Responsibilities:Train and assess state-of-the-art models focusing on aspects crucial to our vision for future consumer devices.Overcome challenges to transform emerging research capabilities into practical solutions.Contribute to defining the software landscape for the future.Ideal Candidate:Possesses 5+ years of relevant experience.Has a strong research background in training language models for UI generation and evaluating the effectiveness of generated UIs.Enjoys cross-disciplinary collaboration across a diverse research landscape.Conducts rigorous scientific investigations to ensure confidence in experimental outcomes.Has hands-on experience in training models for language comprehension and perception.About OpenAIOpenAI is an AI research and deployment organization committed to ensuring that artificial general intelligence is developed in a manner that is safe and beneficial for all of humanity. We strive to push the limits of AI capabilities while prioritizing safety and addressing human needs. Our mission is to incorporate a wide array of perspectives, voices, and experiences to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, valuing diversity and inclusion in our workplace.

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.About Our Team:At OpenAI, we are at the forefront of technology, creating foundational platform software that ensures our consumer products are reliable, secure, and high-performing. Our team collaborates across various system layers, working closely with engineering partners to deliver exceptional capabilities from initial concept to final launch.Role Overview:We are looking for a passionate Systems Software Engineer to lead the design, implementation, and debugging of critical platform components and the pipelines that build and update system images. Your focus will span across operating system layers, emphasizing performance optimization, security enhancements, and in-depth system debugging to deliver production-grade systems that exceed expectations.Key Responsibilities:Design and develop robust system-level components and services within both kernel and user spaces.Configure and maintain essential OS platform services (init, services, networking, security policies) and related tools.Build and manage image and update pipelines, ensuring their reliability, reproducibility, and rollback safety.Instrument system performance through profiling and tracing; enhance CPU, memory, I/O, and energy efficiency.Oversee platform observability and reliability, including logging, crash capture, watchdogs, and diagnostics.Collaborate with cross-functional teams to define interfaces and deliver comprehensive end-to-end features.Establish and promote strong engineering practices such as code reviews, continuous integration, reproducible builds, and effective release management.Work alongside external vendors to support builds and deployments.You Will Excel in This Role If You:Have successfully launched production systems software on modern operating systems.Possess proficiency in C/C++ and a scripting language, with a strong understanding of OS internals including concurrency, memory management, filesystems, networking, and power management.Demonstrate exceptional systems debugging skills utilizing debuggers, tracers, profilers, and logs across kernel/user-space boundaries.Comprehend the configuration of platform services and interfaces, effectively translating requirements into stable, well-documented APIs.Are knowledgeable about user-space foundations including service management, IPC, networking, packaging, and automation.Have experience collaborating with external partners to deliver high-quality software solutions.

About the TeamFounded in 2018, DoorDash Labs is the innovation engine of DoorDash, dedicated to pioneering automation and robotics solutions that enhance last-mile logistics. Our mission is to develop technologies that empower human networks, driving efficiency for Dashers, merchants, and consumers. With a focus on impactful business solutions, our highly experienced team is composed of industry leaders from various robotics fields. As we look towards the future, we aim to improve upon our achievement of 10 billion deliveries by 2025.About the RoleWe are looking for a Senior Electrical Engineer to join our dynamic, multidisciplinary team, specializing in the creation of production-grade electrical systems for consumer and enterprise hardware platforms, including tablets, POS systems, peripherals, and connected devices.This role requires a robust background in mixed-signal board design, power systems, wireless integration, and high-volume product development. The ideal candidate is passionate about designing and delivering reliable hardware at scale, thriving in an environment that demands technical expertise and high-quality execution across multiple concurrent projects.You’re excited about this opportunity because you will…Architect and implement electrical subsystems, including:Power systems: battery management, charging, DC/DC converters, power distribution, and protection.Digital and mixed-signal board design: application processors, MCUs, high-speed interfaces (USB, PCIe, MIPI, etc.), memory, and sensor integration.Wireless systems: WiFi, BLE, LTE, antennas, and EMI/EMC-conscious layout and integration.Peripheral and display integration: touch interfaces, display subsystems, and external connectivity.Key ResponsibilitiesOwn the full lifecycle of electrical hardware from concept through schematic capture, layout review, bring-up, validation, certification, and production.

Join our innovative team at Collate as a Quality Engineer focusing on medical devices. In this full-time position, you will be responsible for ensuring that our products meet the highest quality standards. You will collaborate with cross-functional teams to develop, implement, and maintain quality assurance protocols that comply with industry regulations and best practices.Your role will involve conducting quality audits, analyzing product performance data, and identifying areas for improvement. We are looking for a detail-oriented individual who is passionate about enhancing product quality and safety in the medical device sector.

astro-mechanica is hiring a Senior Combustion Devices Engineer in San Francisco. This position focuses on designing, developing, and optimizing advanced combustion devices for aerospace applications. Role overview The Senior Combustion Devices Engineer will apply deep knowledge of combustion systems to create and refine high-performance hardware. Collaboration with teams across engineering disciplines is central to this work, ensuring that each device meets demanding standards for safety, reliability, and efficiency. What you will do Design and develop advanced combustion devices Optimize system performance for reliability and safety Work closely with multidisciplinary teams throughout the product lifecycle Requirements Extensive experience with combustion systems engineering Strong background in designing and optimizing combustion hardware Ability to collaborate effectively with engineers from other specialties

Role Overview Discord is seeking a Consumer Revenue Strategy & Operations Manager in the San Francisco Bay Area. This role focuses on shaping and executing revenue initiatives that improve the user experience and strengthen community connections. What You Will Do Work closely with teams across the company to design and implement strategies that support consumer revenue growth Use data and analytics to identify opportunities and inform decisions Help ensure revenue projects align with Discord’s mission to connect people through voice, video, and text

About Our TeamJoin the dynamic Consumer Products team at OpenAI, where we are at the forefront of integrating artificial intelligence into tangible products. Our team expertly combines custom silicon, embedded systems, operating systems, and cloud services to craft innovative, production-ready devices that operate seamlessly at scale.Within our Consumer Products division, the camera stack plays an essential role as a sensory component. We collaborate closely with electrical engineering, silicon suppliers, systems engineering, and advanced perception teams to launch new hardware, stabilize capture pipelines, and ensure that our camera systems are resilient, debuggable, and primed for deployment in real-world scenarios. Our projects encompass everything from early prototypes to full-scale production, focusing on precision, repeatability, and long-term dependability.About the RoleAs a Camera Firmware Engineer, you will take charge of low-level camera enablement on bespoke hardware—from initial board bring-up to stable production capture. Your expertise will drive the development and maintenance of firmware and software that ensures camera sensors are reliable, controllable, and debuggable, laying the groundwork for advanced camera pipelines and product features.This position is hands-on and systems-focused. You will engage directly with hardware, troubleshoot real-world timing and integration challenges, and develop tools that streamline the iteration process across the entire camera stack.This role is located in San Francisco, CA, and follows a hybrid work model, requiring four days a week in the office. We also offer relocation assistance for new hires.Your ResponsibilitiesBring up new camera sensors and modules on prototype and production boards, ensuring link stability, sensor control, and accurate power, reset, and clock sequencing.Develop and maintain low-level camera software, including sensor drivers, board configurations, and camera subsystem integration across hardware iterations.Enable and validate essential capture paths for both development and production, including RAW capture for debugging, still capture, and hardware-accelerated video encoding and streaming with stable timestamps and long-lasting reliability.Establish camera control and repeatability features, such as basic 3A loop exposure, manual overrides and locks, and deterministic presets to facilitate validation and debugging.Create and maintain camera bring-up tools, including capture scripts, automated sweeps, manifests, and debugging utilities that simplify issue reproduction and triage.Collaborate closely with electrical engineering, camera pipeline teams, and more to ensure seamless integration of camera technologies into our products.

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steered towards benefiting humanity. Our mission is to ensure that AI is safe, trustworthy, and advantageous for our users and society at large. Our rapidly expanding team comprises passionate researchers, engineers, policy specialists, and business professionals, all collaborating to build beneficial AI solutions.About the RoleClaude, our flagship product, serves millions daily through web, mobile, and desktop applications. As we scale these products, the complexity of collaboration across engineering teams and cross-functional partners increases. We seek a seasoned Technical Program Manager to spearhead critical initiatives across our product engineering organization.In this pivotal role, you will coordinate intricate cross-team efforts, guide launch preparations, and ensure seamless execution across platform and product teams. As our products expand in scale and intricacy, your contributions will be vital.Responsibilities:Lead and coordinate cross-team engineering initiatives, collaborating with platform, product, and infrastructure teams to deliver high-quality releases.Drive program execution for significant product features, ensuring alignment across engineering, legal, policy, and other cross-functional partners.Work alongside engineering leadership to enhance development velocity, manage dependencies, and eliminate blockers.Foster and maintain relationships with engineering teams to comprehend technical requirements, constraints, and trade-offs.Develop comprehensive program documentation, including roadmaps, status reports, risk assessments, and communication plans.Facilitate technical decision-making by uniting stakeholders, driving consensus, and ensuring the timely resolution of blocking issues.Establish processes and frameworks to scale product development and enhance engineering excellence.Ensure launch readiness across teams, guaranteeing predictable and well-communicated releases.

About the TeamThis position is part of our innovative New Verticals team, established in 2020 to enhance customer experiences and empower local economies beyond traditional restaurant offerings. We have successfully introduced Grocery, Convenience, Alcohol, Retail, and DashMarts, while also developing advanced merchant and dasher tooling and software products. This specific team within New Verticals focuses on pioneering our next major initiatives, with Consumer Financial Products and Services being a top priority.About the RoleWe are seeking an Associate Manager to assist in the launch and expansion of new consumer financial products at DoorDash. This role will play a crucial part in shaping how millions of customers pay, earn rewards, and manage value on our platform. As a member of the Consumer Financials Strategy & Operations team, you will help incubate fresh financial projects from initial concept through to launch, learning, and iterative improvement.In this position, you will collaborate cross-functionally with Product, Engineering, Design, Analytics, Finance, and Operations teams to define requirements, support product launches, and conduct experiments aimed at enhancing how customers earn, store, and spend value on DoorDash. You will convert complex product and operational needs into actionable plans, ensuring that new product experiences are straightforward, intuitive, and trusted as they gain traction.This role reports to the Senior Manager / GM of our Consumer Financials team and operates as an individual contributor. Our team embraces a hybrid work model, allowing for collaboration in-office as well as remote work.Why You’re Excited About This OpportunityStrategize. Innovate and contribute to the growth strategy within the consumer financials business at DoorDash.Collaborate. Work closely with diverse teams across DoorDash to build, launch, and scale exciting new opportunities.Influence. Partner with multiple departments to bring your ideas to fruition; including Product, Marketing, Analytics, Finance, Design, and more.

Join HeartFlow, Inc. as a Senior Quality Engineer specializing in medical devices. In this pivotal role, you will ensure our products meet the highest quality standards and regulatory requirements. You will collaborate with cross-functional teams to drive quality improvements, conduct risk assessments, and oversee the evaluation of product performance.Your expertise will directly contribute to the design and development of innovative solutions that enhance patient care. If you are passionate about quality assurance in the medical device industry and thrive in a dynamic environment, we invite you to be part of our mission to improve cardiovascular health.

About HeartFlow HeartFlow, Inc. develops medical technology to improve the diagnosis and management of coronary artery disease. The company’s flagship HeartFlow FFRCT Analysis uses advanced AI to create non-invasive, color-coded 3D models of coronary arteries, helping clinicians understand how blockages impact blood flow. HeartFlow’s integrated heart care platform supports clinicians in identifying stenoses (RoadMap™ Analysis), assessing coronary blood flow (FFRCT Analysis), and characterizing atherosclerosis (Plaque Analysis). HeartFlow is publicly traded (HTFL) and recognized internationally for healthcare innovation. Its solutions are approved in the US, UK, Europe, Japan, and Canada, and have supported care for over 500,000 patients worldwide. Role Overview: Senior Manager of Device Quality Engineering The Senior Manager of Device Quality Engineering leads the global strategy for software quality and design excellence at HeartFlow. This role builds and manages a high-performing team, connecting fast-moving Agile development with the rigorous demands of medical device regulations. The team’s work covers digital health solutions, including Software as a Medical Device (SaMD) and AI/ML technologies, with a focus on safety, security, compliance, and scalability. Main Responsibilities Direct the end-to-end design control process within the Software Development Lifecycle (SDLC). Develop and implement a roadmap for compliance, security-by-design, and readiness for global regulatory requirements. Mentor and develop future leaders in quality engineering. Bridge Agile software development practices with medical device regulatory standards. Location San Francisco Bay Area, California, United States

Join Our Innovative TeamAt OpenAI, our Consumer Products Research team is at the forefront of shaping the future of computing. We delve into cutting-edge modalities, interaction patterns, and system behaviors, engineering them into robust prototypes. The Neosensing team operates at the confluence of sensing technologies, edge algorithms, and systems engineering. We develop comprehensive software solutions that transform novel signals into reliable capabilities, including collection tools, integration protocols, and stable on-device loops that perform reliably in dynamic environments. We are passionate about software excellence and rapid iteration, emphasizing clean interfaces, debuggability, observability, and high performance even under strict device constraints.Your ContributionAs a Software Engineer in our Consumer Products Research team, you will bridge the gap between algorithm development and implementable systems. Collaborating closely with algorithm engineers, you will convert prototypes into robust interfaces, dependable data pipelines, and optimized on-device solutions, with a sharp focus on performance, observability, and resilience against real-world challenges.This role prioritizes software development, seeking a candidate who is passionate about writing high-quality code, takes pride in engineering craftsmanship, and is willing to dive deep into algorithmic intricacies to ensure seamless end-to-end functionality.Work EnvironmentThis position is based in San Francisco, CA, and follows a hybrid work model with four days in the office each week. Relocation assistance is available for new hires.Key Responsibilities:Develop and deploy pioneering production software for sensing algorithms, transforming algorithm prototypes into reliable end-to-end systems.Manage and enhance critical components of the Python shipping pipeline, including integration surfaces, evaluation hooks, and performance quality safeguards.Create embedded and on-device software within an RTOS environment (e.g., Zephyr) and implement models across various device runtimes and hardware accelerators.Refine real-time on-device perception loops (e.g., detection/tracking pipelines) to ensure stability, low latency, and efficient use of power and memory.Design and develop data collection and instrumentation tools that facilitate the introduction of new sensing modalities and expedite the process from prototype to dataset to model to device.Collaborate cross-functionally with teams in algorithms, human data, and firmware/hardware to debug, profile, and enhance systems against real-world variability.

About Our TeamJoin our dynamic Release Engineer team, dedicated to developing and managing the cutting-edge systems that facilitate seamless software delivery. Our responsibilities encompass everything from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure that software for bootloaders, firmware, operating systems, and cloud services is built consistently, validated thoroughly, and delivered securely at scale.About the RoleAs a Release Engineer, you will be instrumental in designing, building, and maintaining the release infrastructure that guarantees reliable, secure, and traceable software delivery across intricate multi-component systems. You will collaborate closely with embedded, cloud, and QA teams to ensure every build—from development to OTA deployment—is efficient, verifiable, and production-ready.We seek engineers who are passionate about automation, reproducibility, and system reliability, and who thrive on creating the connections that allow hardware and software to be integrated and shipped seamlessly.This position is based in San Francisco, CA. We operate on a hybrid work model, with four days in the office each week, and we provide relocation assistance to new hires.Key ResponsibilitiesDesign and manage CI/CD pipelines for complex builds, including bootloader, firmware, OS images, backend, and companion applications, utilizing hermetic toolchains.Establish versioning and branching strategies; automate promotions, changelog generation, and artifact retention.Integrate unit, integration, and hardware-in-the-loop (HIL) testing results; identify and isolate flaky tests, auto-bisect failures, and prevent unsafe promotions.Develop A/B OTA update flows with verification and health checks; execute staged rollouts and canary deployments; implement safe rollback and roll-forward strategies.Implement code signing for binaries and firmware, generate Software Bill of Materials (SBOMs), conduct vulnerability scans, and provide build attestations and provenance.Oversee dashboards and alerts to monitor build health, promotion latency, failure rates, and fleet update telemetry.Ideal Candidate ProfileDemonstrated experience in building and managing release and build systems for consumer devices, robotics, mobile applications, or embedded products.Proficiency in scripting and automation languages such as Python or Bash.Solid understanding of Linux user-space fundamentals.Familiarity with GitHub Actions or Buildkite, artifact registries, and reproducible toolchains.

About UsAt Foundry Robotics, we are pioneering an AI-driven, assembly-centric contract manufacturing model. Our approach integrates software-defined manufacturing, where both robots and humans collaborate to achieve tangible production outcomes.Our unique value proposition transcends simple models; we deliver a powerful software infrastructure that converts:Orders into SchedulesSchedules into Work InstructionsWork into TelemetryTelemetry into Continuous Improvement of Throughput, Quality, and CostThis position is focused on senior software engineering, specifically in creating the cloud and on-premises systems that operate the factory, alongside the data architecture that ensures these systems are observable, reliable, and scalable.Please note, we are also recruiting Robotics Research Engineers separately; this role is distinct from that.The RoleWe are in search of a Senior Software Engineer (Individual Contributor) to develop the backend systems and infrastructure that will drive the factory of the future.Your responsibilities will include designing and implementing:Cloud-based backend systemsOn-premises factory servicesEmbedded-to-cloud data flowsPetabyte-scale visual data pipelinesMachine learning infrastructure across diverse computational environmentsYou will be tasked with creating production systems that remain operational in challenging conditions, such as noisy factories, unreliable connectivity, and the real costs associated with downtime.This is a practical engineering role where you will be expected to deliver tangible results.Key ResponsibilitiesCloud & On-Prem ArchitectureDevelop and sustain a cloud-based backend for planning, scheduling, execution, inventory management, traceability, and telemetryDesign architectures that span embedded, on-premises, and cloud systems across multiple compute environmentsImplement infrastructure-as-code principles using TerraformEnsure secure and reliable data transfer between the factory floor and the cloudML Infrastructure & Data SystemsEstablish petabyte-scale visual data pipelines for the ingestion, curation, indexing, and preparation of manufacturing data