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.

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 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

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.

Join Our Innovative TeamAt OpenAI, our Kernels team is at the forefront of developing cutting-edge software that drives our most ambitious AI research initiatives.We operate at the intersection of hardware and software, crafting high-performance kernels and implementing distributed system optimizations to enhance the efficiency of large-scale training and inference processes.Our mission is to empower OpenAI to push the boundaries of AI by ensuring that various models—from large language models (LLMs) to recommendation systems—operate seamlessly on state-of-the-art supercomputing infrastructures. This includes adapting our software stack for new accelerator technologies, optimizing overall system performance, and eliminating bottlenecks throughout the architecture.Your RoleAs a member of the Accelerators team, you will play a crucial role in evaluating and integrating new computing platforms designed to support extensive AI training and inference capabilities.Your projects will encompass everything from prototyping system software on emerging accelerators to implementing performance enhancements across our AI applications.You will engage with both hardware and software components, focusing on kernel development, sharding strategies, distributed systems scalability, and performance modeling.This position emphasizes the integration of machine learning algorithms with system performance optimization—particularly in large-scale environments—rather than solely compiler development.Key ResponsibilitiesPrototype and empower OpenAI's AI software stack on pioneering accelerator platforms.Enhance the performance of large-scale models (LLMs, recommender systems, distributed AI workloads) across varied hardware setups.Design kernels, sharding strategies, and system scaling solutions optimized for new accelerator technologies.Collaborate on code-level optimizations (e.g., in PyTorch) and lower-level enhancements to improve performance on unconventional hardware. Conduct system-level performance modeling, identify bottlenecks, and foster comprehensive optimization.Partner with hardware teams and vendors to assess alternatives to current platforms and adapt our software stack accordingly.Contribute to runtime advancements, compute and communication overlapping, and scaling strategies for next-generation AI workloads.Ideal Candidate ProfileA strong background in software engineering, particularly with a focus on system performance and large-scale applications.Experience with AI workloads and optimizing performance across both hardware and software layers.Familiarity with distributed systems and the ability to work collaboratively with hardware teams.A passion for advancing AI technologies and a desire to tackle challenging problems in a fast-paced environment.

Join Perplexity as a Software Engineer on our innovative Acceleration team! We are at the forefront of transforming how individuals navigate the internet and the world around them. Our goal is to enhance the operational efficiency of our teams and achieve significant advancements in both product and user experience.As we lead the way into an agentic future for the internet, you will play a crucial role in leveraging AI tools and agents to amplify the capabilities of our focused, mission-driven teams. Currently, AI is integrated into every aspect of our work, from frontend and backend engineering to applied AI research and business operations. The Acceleration team is dedicated to pioneering software and process engineering to maximize the benefits of AI technology, ensuring we deliver at unparalleled speeds.We are looking for candidates with exceptional technical judgment developed through experience in internet-scale companies, who actively engage with cutting-edge AI tools and possess a visionary mindset to redefine work processes for future-leading organizations. You will thrive in a versatile role that combines AI product development, infrastructure/platform engineering, developer experience, and more.

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.

About CartesiaAt Cartesia, our vision is to develop the next wave of artificial intelligence: a seamless, interactive intelligence that is accessible anytime and anywhere. Even the most advanced models today struggle to consistently analyze extensive streams of audio, video, and text—this includes a staggering 1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—much less accomplishing this directly on devices.We are at the forefront of designing the model architectures that will revolutionize this capability. Our founding team, who met as PhD students at the Stanford AI Lab, pioneered State Space Models (SSMs), a groundbreaking tool for training efficient, large-scale foundational models. Our diverse team blends in-depth knowledge of model innovation with strong systems engineering and a product-driven engineering approach to create and deploy cutting-edge models and experiences.We are backed by prestigious investors including Index Ventures and Lightspeed Venture Partners, along with contributions from Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks, and many others. We are privileged to have the mentorship of numerous esteemed advisors and over 90 angel investors from various fields, including leading experts in AI.About the RoleWe are seeking an AI-native Software Engineer focused on Developer Acceleration to enhance the developer experience and optimize the speed at which Cartesia engineers can ship solutions. This role involves creating innovative tooling at the cutting edge of AI programming, and developing a comprehensive playbook that empowers both engineers and non-engineers to efficiently deploy consistent and maintainable internal tools independently.Your ImpactDesign workflows that facilitate Cartesia's transition from problem identification to solution implementation with minimal human oversight.Remain informed about the latest advancements in AI-assisted development and champion its adoption within Cartesia.Develop automated end-to-end development and evaluation frameworks that empower coding agents to refine solutions and self-correct.Create a playbook for the Cartesia team to build data-connected, IAM-aware internal tools for both human-in-the-loop and automated processes.

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 Our TeamJoin our dedicated Quality Assurance Software Engineering team, where we prioritize the excellence and dependability of our device software. We create and uphold automated testing frameworks, hardware-in-the-loop labs, and efficient release pipelines that guarantee quality signals are reliable, facilitating swift and secure product launches. Our collaborative environment encompasses infrastructure, automation, and cross-team synergy to ensure every release adheres to the highest standards.About the PositionAs a Quality Assurance Software Engineer, you will take ownership of the automated validation process for our device software. This encompasses developing test frameworks, conducting regression testing, overseeing hardware-in-the-loop labs, and managing release gates. You will construct systems that ensure quality signals remain trustworthy, integrate them into our CI/CD processes, and streamline the execution of repeatable procedures for QA vendor technicians.We seek engineers with extensive expertise in software quality, automation, and hardware-software integration, who are passionate about building scalable and reliable validation systems.This position is located in San Francisco, CA, operating on a hybrid work model of four days in the office each week, and we provide relocation assistance to new hires.Key Responsibilities:Test Infrastructure & Frameworks: Design, implement, and maintain a cohesive test framework for device software (unit, integration, system/end-to-end), integrating adapters for GitHub/Linear/Slack and ensuring reproducible runs.CI/CD Integration & Releases: Seamlessly integrate test suites with Buildkite, enforce promotion criteria (staging/prod), automate regression filing, and publish traceable artifacts and release notes.Hardware-in-the-loop Lab Design & Orchestration: Strategically plan and establish racks, power/networking, and orchestration for device testing; facilitate automated flashing, provisioning, and telemetry capture.Automation Tooling: Create tools for API/firmware validation, result triage, log capture, and reproducible bug reports.Quality Signals, Metrics, and Flake Control: Develop dashboards and alerts for pass rates, stability, and release readiness; identify and quarantine flaky tests; lead root-cause analysis with stakeholders; and monitor DORA-style delivery metrics to ensure release health.Vendor Enablement: Draft clear procedures for QA vendor technicians, review their reports, and manage a queue for rig maintenance and repairs.Cross-Team Collaboration: Collaborate with embedded and system software teams to enhance testability and streamline processes.

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We aspire to create a future where everyone can access the knowledge and tools necessary to harness AI for their individual needs and aspirations.Our team consists of scientists, engineers, and innovators who have developed some of the most renowned AI products, including ChatGPT and Character.ai, as well as open-weight models such as Mistral. We are also contributors to popular open-source initiatives like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking talented engineers to develop the libraries and tools that will expedite research at Thinking Machines. You will take charge of our internal infrastructure, which includes evaluation libraries, reinforcement learning training libraries, and experiment tracking platforms, all aimed at enhancing research velocity over time.This position emphasizes collaboration; you will engage directly with researchers to pinpoint bottlenecks and challenges. Your success will be measured by the trust researchers place in your systems and their enjoyment of using them.What You'll DoDesign, develop, and manage research infrastructure, including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities.Create high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessments.Establish systems for reproducibility, traceability, and stringent quality control throughout research experiments and model training processes. Implement monitoring and observability.Collaborate closely with researchers to identify obstacles and unlock new capabilities. Manage research tools like a product manager, actively seeking feedback and tracking user adoption.Work alongside infrastructure, data, and product teams to ensure seamless integration of tools across the technical stack.

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.

Join Handshake as a Staff Software Engineer focused on enhancing consumer experience. In this pivotal role, you'll leverage your expertise to design and develop innovative software solutions that elevate user engagement and satisfaction. Collaborate closely with cross-functional teams to implement best practices and ensure a seamless user journey across all platforms.

At Discord, we connect over 200 million users every month, with the majority of them engaging in their favorite pastime: gaming. Our platform is not just about chatting; it’s a vibrant community where over 90% of our users immerse themselves in games, collectively spending a staggering 1.5 billion hours playing thousands of unique titles on Discord each month. We are on a mission to enhance the gaming experience by facilitating seamless communication and interaction among players.We are actively searching for skilled Senior Software Engineers to join our Consumer Revenue teams, which are pivotal in shaping premium experiences at Discord. In this role, you will focus on developing features for our premium offerings, including Nitro, the shop, boosting, user identity, and more. Your contributions will play a crucial role in delivering high-quality premium experiences for our subscribers while preserving the core functionalities for our free users. You will be instrumental in driving the revenue that supports Discord’s overarching mission.This role involves close collaboration across various departments such as Product, Data Science, Design, and Marketing to design and implement top-tier consumer experiences. You will manage projects throughout their lifecycle, from backend data modeling and API business logic to creating polished user-facing interfaces. Our infrastructure, platform, and product teams will support you as you strive to build the best premium Discord experience for our users.Explore some of our latest initiatives like Nitro, shop, boosting, user identity, and more. For deeper insights into Discord Engineering, check out our engineering blog!

Join Quizlet as a Principal Software Engineer to revolutionize the way consumers interact with educational content. In this pivotal role, you will leverage your extensive software engineering experience to design and implement innovative solutions that enhance user experiences. Collaborate with a dynamic team of engineers and product managers to drive product vision and execution.

Join Our Innovative TeamAt OpenAI, our Consumer Products team is dedicated to crafting and launching seamless hardware and software experiences that integrate cutting-edge AI into everyday life. We collaborate across various domains, including industrial design, hardware engineering, embedded systems, and AI research, to develop exceptional consumer devices that are intuitive, reliable, and fully aligned with OpenAI's advanced models.Our Camera team plays a pivotal role in delivering resilient, production-ready imaging systems capable of operating under real-world conditions such as motion, power fluctuations, latency, and manufacturing variances. Our responsibilities span from early silicon and board bring-up to large-scale production, directly enhancing user-facing experiences and on-device perception for AI-enhanced features.As a small, highly skilled team, we emphasize deep ownership, strong collaboration across functions, and a commitment to delivering high-quality products over mere incremental demonstrations.Your RoleAs a Camera ISP Software Engineer, you will be responsible for the complete lifecycle of ISP bring-up and tuning from prototype to production hardware. You will work on optimizing software and hardware-accelerated pipelines to ensure high-quality imaging performance that withstands real-world challenges such as motion, power, and manufacturing variances.This position is perfect for engineers who thrive in dynamic, early-stage environments, appreciate taking ownership of complex technical challenges, and take pride in delivering production-grade imaging systems.This role is based in San Francisco, CA, within a hybrid work model that includes four days in the office weekly, with relocation assistance available for new hires.Key ResponsibilitiesLead the end-to-end ISP tuning and bring-up process, from early prototypes to final production hardware.Optimize core 3A and image-quality functions including AE, AWB, AF, noise reduction (both spatial and temporal), sharpening, tone mapping, color correction, HDR/WDR, flicker mitigation, lens shading, defect pixel correction, and other critical ISP stages.Develop repeatable workflows for capture and evaluation, integrating controlled lab tests with real-world validation.Assess robustness across sensor, module, and manufacturing variations using clear and defensible success metrics.Produce production-ready tuning artifacts, including versioned tuning packs, parameter manifests, change logs, and curated RAW and processed datasets accompanied by detailed documentation.Collaborate closely with camera firmware and systems teams to ensure seamless integration and performance.

About Our TeamJoin our innovative Applied AI team at OpenAI, where we responsibly deploy cutting-edge technology for global impact. We are the creators behind transformative products like ChatGPT, Plugins, DALL·E, and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. Our team also manages large-scale inference infrastructure, with exciting developments on the horizon.We are dedicated to learning from real-world deployments to maximize AI benefits while ensuring its responsible use. Prioritizing safety over unchecked growth, we directly engage with end-users through ChatGPT and empower developers via our APIs, enabling unprecedented product features.About the PositionAs a pivotal member of our Engineering Acceleration team, you will design, build, and maintain the essential systems that drive the development of ChatGPT and our APIs. This growing team offers you the opportunity to shape the strategy and vision that enhances developer productivity.Key Responsibilities:Lead the creation and implementation of tools and processes that boost engineering efficiency, minimize manual tasks, and enhance output quality.Leverage our advanced AI tools to redefine productivity standards within our engineering teams.Collaborate with internal teams to identify their workflows, challenges, and requirements, ensuring our systems effectively address their needs.Deliver innovative features and research capabilities in partnership with product engineers to establish the necessary technical groundwork.Advise engineering teams on best practices for building observable and scalable systems.Maintain responsibility for the reliability of the systems we develop, including participating in an on-call rotation for critical incident response.Ideal Candidate Profile:5+ years of engineering experience, with at least 3 years focused on developing infrastructure tools for developers.Empathetic understanding of the tools and processes that hinder engineering teams, contributing to inefficiencies or burnout.A relentless passion for learning and innovating in a fast-paced environment.

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