Graphics Software Engineer - Consumer Devices

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

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

Okta secures identity for organizations adapting to the changing landscape of AI. The company builds trusted, neutral infrastructure that lets businesses operate safely and confidently. Solving complex, real-world problems is at the core of Okta’s work. The Device Access team connects employee devices to the Okta Identity Cloud. This group develops and maintains both the native macOS application and the backend services that support it. Close collaboration across these areas helps deliver a seamless, secure experience for users throughout the organization. Role overview The Senior Engineering Manager leads two teams: the macOS client engineering group and the backend services group. This role sets the overall direction for Device Access, guiding both teams to deliver secure and user-friendly products. Responsibilities include defining strategy across the technology stack and supporting high-performing, cross-functional teams. Key responsibilities Strategy: Define the technical vision, identify new opportunities, and establish a sustainable long-term architecture for Device Access. Execution: Oversee delivery of high-quality client and backend services, remove barriers, and keep teams aligned. Team development: Mentor engineers, manage hiring and performance, and foster a culture of excellence. Leadership: Collaborate with partners across functions, mediate conflicts, make tough decisions, and model a growth mindset. Location This position is based in San Francisco, California.

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.

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 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 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 The Senior Manager of Device Software for Connected Products leads software development efforts for connected home and building products at Fortune Brands Innovations, Inc. Based in San Francisco, this position focuses on enhancing connectivity and overall product functionality. What you will do Direct the development and launch of software solutions for connected devices Collaborate with engineering, product, and quality teams to deliver dependable, high-performing products Set and uphold strong standards for software quality and product performance Requirements This role calls for significant experience in software development for connected devices, along with leadership skills to guide cross-functional teams and maintain high quality standards.

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.

Plaud Inc. is a San Francisco-based company focused on building AI-powered tools for professionals. Since its launch in 2023, Plaud’s note-taking platform has attracted over 1.5 million users worldwide. The company aims to enhance human intelligence by creating infrastructure and interfaces that help people capture, extract, and apply insights from speech, audio, visuals, and thought. Plaud’s approach blends hardware and software to support collaboration between humans and AI. The company places a strong emphasis on data security, complying with standards such as SOC 2, HIPAA, GDPR, ISO27001, ISO27701, and EN18031. For more information, visit Plaud.ai or connect on Instagram, X, Facebook, LinkedIn, and YouTube.

About SesameAt Sesame, we envision a world where technology seamlessly integrates with our lives, evolving computers into lifelike partners that can see, hear, and communicate in the most human-like ways. We are on a mission to create innovative voice agents that become an integral part of our everyday routines. Our diverse team comprises founders from Oculus and Ubiquity6, along with leading talents from Meta, Google, and Apple, all possessing a wealth of knowledge in both hardware and software development. Join us as we redefine the future of computing.About the RoleWe are seeking a talented and seasoned iOS Engineer to play a pivotal role in developing the Sesame app, which powers our cutting-edge wearable devices. You will be at the forefront of designing, architecting, and implementing our iOS application that enhances user engagement—from initial setup and account management to personalized experiences and firmware updates. Collaborating closely with design, firmware, and backend teams, you will create an intuitive and delightful user experience that bridges our hardware with the digital landscape.Responsibilities:Develop and refine Sesame’s standalone companion app, establishing a new standard in consumer product categories, while maintaining a strong emphasis on quality and craftsmanship.Collaborate with hardware and firmware teams to create a fluid iOS user experience that seamlessly integrates with Sesame’s wearable technology.Coordinate with cross-functional teams in engineering, design, and product management to deliver complex projects that exceed user expectations.Partner with fellow iOS, Android, and web engineers to define and advance Sesame's mobile and web strategy.Write robust, clean, and maintainable code with a strong focus on performance and reliability.Engage in code reviews, continuous integration/continuous deployment (CI/CD) processes, and oversee App Store release cycles.

Company OverviewAt Echo Neurotechnologies, we are revolutionizing the Brain-Computer Interface (BCI) landscape by merging advanced hardware engineering with innovative AI solutions. Our goal is to develop state-of-the-art technologies that restore independence to individuals with disabilities, enhancing their overall quality of life.Team CultureBecome a part of our dynamic and passionate team, where each member is dedicated to pushing the boundaries of technology. Our startup environment fosters ownership and encourages impactful decision-making. We champion continuous learning and collaboration across disciplines, ensuring that your contributions play a pivotal role in our achievements.Position OverviewAs a Senior Firmware Engineer, you will be at the forefront of developing high-quality, robust, and scalable firmware for Echo's pioneering medical devices. You will contribute significantly to the cross-functional team tasked with launching our inaugural BCI device. Your insights will shape firmware, software, and electronic decision-making processes, guiding the product from conception through to testing, verification, and validation.

About Our TeamJoin the Future of Computing Research team at OpenAI, an innovative applied research group within the Consumer Devices division. Our mission is to pioneer new methods and models that contribute to our overarching goal of developing Artificial General Intelligence (AGI) for the betterment of humanity.Role OverviewAs the Inference Technical Lead, you will collaborate with world-class machine learning researchers and top-notch design talents to push the boundaries of model capabilities. This position is stationed in San Francisco, CA, offering a hybrid work model that includes 4 days in the office, along with relocation assistance for new hires.Key ResponsibilitiesAssess and select silicon platforms, including GPUs, NPUs, and specialized accelerators, for the deployment of OpenAI models on-device and at the edge.Collaborate closely with research teams to co-design model architectures that satisfy real-world constraints such as latency, memory, power, and bandwidth.Conduct system performance analyses to identify trade-offs in model design, memory hierarchy, compute throughput, and hardware capabilities.Work hand-in-hand with hardware vendors and internal infrastructure teams to launch new accelerators, ensuring efficient execution of transformer workloads.Lead a team of engineers in implementing the low-level inference stack, encompassing kernel development and runtime systems.Navigate challenges to transform emerging research capabilities into scalable solutions.Ideal Candidate ProfileProven experience in evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators.Strong understanding of transformer model performance characteristics, including attention mechanisms, KV-cache behaviors, and memory bandwidth requirements.Experience designing or optimizing high-performance computing systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines.Background in building or leading teams focused on low-level performance-critical software, including CUDA kernels, compilers, or ML runtimes.Demonstrated ability to thrive in a fast-paced, innovative environment.

At Forge, we recognize that our team is our most valuable asset. As pioneers in technology within the private market, our mission is to create a more prosperous future for all. We embody this mission through our core values of being bold, accountable, and humble. Our vision is realized daily as we support the teams behind the most significant innovations of our era, from advancements in space exploration to breakthroughs in artificial intelligence.With our liquidity solutions, exclusive data and insights, custody offerings, and a dynamic marketplace, Forge aims to establish a world-class technology infrastructure that facilitates a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Our platform enables employees to liquidate their private shares, rewards shareholders with pre-IPO liquidity, and allows both individual and institutional investors to engage in the growth of private unicorns.Forge's unique global marketplace caters to the increasing demand from both individual and institutional investors seeking exposure to private company stocks, thereby fostering a growing network effect.The immense interest from investors and the rising demand from customers underscore our ability to provide these powerful financial solutions, prompting the expansion of our team to better serve the needs of companies, teams, and innovators alike.The Role:The Forge IT Operations team is dedicated to designing, building, and maintaining the corporate infrastructure that ensures the reliable and secure operation of our IT ecosystem and SaaS services.In this role, you will be tasked with the hands-on configuration and administration of our network and endpoint infrastructure, enabling Forge employees to perform their daily responsibilities efficiently and securely. As the IT Network and MDM Engineer, you will design, implement, maintain, and support our expanding network and endpoints. You will play an integral role in the IT Operations team, responsible for crafting scalable, maintainable, and available infrastructure architectures that align with our business objectives.

Hayden AI creates mobile perception systems that help transit agencies and city governments solve transportation challenges. The team’s technology supports bus lane and stop enforcement, improves street safety, and helps make transit systems more efficient and sustainable. This Senior Firmware Engineer role is based at Hayden AI’s San Francisco headquarters. The position sits within the Device Software team and focuses on the low-level software stack powering the company’s edge AI systems. Work centers on direct interaction with hardware to ensure reliable, high-performance operation in real-world settings. Responsibilities Develop and maintain Linux kernel modules and device drivers for embedded platforms. Integrate hardware and software layers for edge AI devices to ensure stable operation. Work closely with hardware engineers and other software teams to deliver high-performance solutions. Troubleshoot and resolve firmware issues in deployed environments. Requirements Significant experience with Linux kernel and device driver development. Strong background in embedded systems and low-level programming. Comfort working directly with hardware and debugging complex system interactions. Experience with edge AI or similar real-time systems is a plus.

Role Overview Intuitive Surgical, Inc. is hiring a Staff Quality Engineer in San Francisco. This role focuses on maintaining quality standards for robotic-assisted surgical systems. The position works closely with teams across the company to support quality assurance and uphold compliance with industry regulations. Key Responsibilities Maintain and improve quality standards for surgical products Collaborate with cross-functional teams to support quality assurance activities Ensure compliance with relevant industry regulations Contribute to initiatives that drive continuous improvement in product quality and operations

About CalaAt Cala, we are dedicated to liberating individuals from the challenges of chronic diseases. Our journey began with the development of the first non-invasive prescription therapy for hand tremors, leading to the release of Cala kIQ — our most advanced therapy to date. Our innovative products have empowered thousands to regain their confidence and improve their quality of life.But our mission extends beyond tremors. Our groundbreaking technology has the potential to transform treatment across neurology, cardiology, and various other fields. We are just getting started!The OpportunityWe are looking for a proactive Mechanical Manufacturing Engineer to enhance our collaboration with Cala's contract manufacturing partners and optimize production operations. This role will involve designing fixtures, refining assembly processes, and facilitating production ramp-up and continuous improvement for our wearable medical devices. You will work closely with contract manufacturers to observe builds, troubleshoot issues, and implement effective tooling and process enhancements aimed at boosting quality, throughput, and operator ergonomics.