" + "- $203K – $225K • Offers Equity

" + "The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

" + "- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

" + "- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

" + "- 401(k) retirement plan with employer match

" + "- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

" + "- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

" + "- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

" + "- Mental health and wellness support

" + "- Employer-paid basic life and disability coverage

" + "- Annual learning and development stipend to fuel your professional growth

" + "- Daily meals in our offices, and meal delivery credits as eligible

" + "- Relocation support for eligible employees

" + "- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

" + "## About the Team " + "The Environmental, Health & Safety (EHS) team partners across the company to enable safe, compliant, and scalable operations as our work, facilities, and technologies grow globally. We work closely with Engineering, Research & Development, Workplace, Operations, Security, IT, and external partners to design practical safety programs that support innovation while protecting people.

" + "## About the Role " + "OpenAI is seeking an EHS Manager, Engineering & Technical Operations to support expanding hardware engineering and research and development environments across emerging technology domains.

" + "This role will partner closely with engineering, research, and technical operations teams to assess and control exposure risks, strengthen safe work practices, and build scalable EHS programs that enable innovation while protecting people, facilities, and equipment. You will operate across multiple technical disciplines and translate complex hazards into practical controls that teams can apply in fast-moving environments.

" + "The role also provides EHS advisory input on product and equipment safety, helping engineering teams identify hazards early in development and integrate safety considerations into evolving technologies.

" + "## In this role, you will: " + "- Lead EHS programs supporting hardware engineering, research and development, and technical operations environments across multiple sites, with emphasis on industrial hygiene and product and equipment safety risks.

" + "- Conduct exposure and hazard assessments across chemical, physical, and operational risks and implement effective controls aligned with the hierarchy of controls.

" + "- Develop, maintain, and scale SOPs and safety standards for technical workflows, equipment use, materials handling, and high-risk operations.

" + "- Partner with engineering and technical teams to embed safety-by-design principles into equipment, workspaces, and evolving technical processes.

" + "- Provide EHS advisory support on product and equipment safety, helping identify hazards during development, testing, and deployment phases.

" + "- Strengthen compliance frameworks across OSHA/Cal-OSHA, NFPA, ANSI, and related safety standards, ensuring programs align with regulatory expectations.

" + "- Support regulatory readiness across sites, including preparing teams for inspections, coordinating responses to agency inquiries, and partnering with regulators when necessary.

" + "- Own or co-own programs such as hazard communication, chemical management, ventilation and engineering controls effectiveness, equipment safety, and contractor safety.

" + "- Lead incident and near-miss investigations, develop corrective and preventive actions, and analyze trends to drive continuous improvement.

" + "- Deliver targeted training, support onboarding and work authorization or permitting processes, and reinforce a strong on-the-floor safety culture.

" + "## You might thrive in this role if you: " + "- 8–10+ years of EHS experience supporting engineering, research and development, technical operations, or other complex technical environments.

" + "- Strong capability in industrial hygiene principles, including exposure assessment, monitoring approaches, and control selection.

" + "- Experience advising teams on product or equipment safety hazards, including mechanical, electrical, thermal, or chemical risks.

" + "- Technical fluency across multiple disciplines such as mechanical systems, electrical hazards, equipment safety, materials and chemical hazards, and facility controls.

" + "- Working knowledge of OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks.

" + "- Experience supporting or interfacing with regulatory agencies or inspections and translating regulatory requirements into practical operational controls.

" + "- Demonstrated ability to influence cross-functional partners and embed safety considerations early in engineering and operational planning.

" + "- Strong field presence and operational judgment in dynamic, evolving technical environments.

" + "- Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent are preferred.

" + "## About OpenAI " + "OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

" + "## Required Skills " + "• Industrial hygiene principles " + "• Exposure assessment " + "• Monitoring approaches " + "• Control selection " + "• Product or equipment safety hazards " + "• Mechanical, electrical, thermal, or chemical risks " + "• Technical fluency across multiple disciplines " + "• OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks " + "• Regulatory agency interactions " + "• Operational controls " + "• Cross-functional partnerships " + "• Field presence and operational judgment " + "• Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent

" + "## Preferred Skills " + "• Experience in hardware engineering and research and development environments " + "• Familiarity with emerging technology domains " + "• Strong analytical and problem-solving skills " + "• Excellent communication and interpersonal skills " + "• Ability to work in a fast-paced environment " + "• Experience with EHS software and systems " + "• Familiarity with regulatory requirements and industry standards

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You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.

This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.

Key Responsibilities:

• Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.
• Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.
• Develop performance models to guide decisions on:
• scale-up vs. scale-out architectures
• interconnect and network design
• memory hierarchy and system balance.
• Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.
• Influence reference designs and vendor roadmaps through data-driven insights.
• Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.
• Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.
• Continuously improve modeling fidelity by validating against real system behavior and measurements.

Qualifications:

• Have experience owning or building performance modeling frameworks used to drive real system design decisions.
• Have deep knowledge of AI/ML workloads, including training and/or inference at scale.
• Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.
• Are comfortable working across abstraction layers,from workload behavior to hardware implementation.
• Have experience using modeling (analytical or simulation) to inform architectural decisions.
• Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.
• Communicate clearly and influence both internal teams and external partners.

Preferred Skills:

• Experience working with hardware vendors (ODM/JDM, silicon, networking).
• Background in data center infrastructure or hyperscale systems.
• Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).
• Experience influencing hardware roadmaps or reference architectures.
• Prior experience leading or mentoring engineers.

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You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities.

This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems.

Key Responsibilities:

• Define rack- and cluster-level reference architectures for AI infrastructure deployments.
• Translate workload requirements into clear system design specifications and partner deliverables.
• Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.
• Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).
• Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.
• Influence and shape vendor roadmaps to meet future infrastructure needs.
• Track emerging technologies and evaluate their applicability to AI systems.
• Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.
• Act as a key interface between OpenAI and external partners, ensuring execution against design intent.

Qualifications:

• Have strong experience in system architecture for large-scale infrastructure or data center environments.
• Understand AI workload characteristics and how they map to system-level design decisions.
• Are comfortable working with performance modeling outputs to inform architectural direction.
• Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking).
• Can drive alignment across multiple stakeholders with competing constraints.
• Have a track record of turning ambiguous requirements into clear, executable system designs.
• Are proactive in identifying gaps and driving solutions across organizational boundaries.

Preferred Skills:

• Experience defining rack- or cluster-level systems for hyperscale or AI workloads.
• Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures.
• Experience influencing vendor roadmaps and reference designs.
• Background in infrastructure deployment, hardware engineering, or systems integration.
• Experience leading PoCs or early-stage hardware validation efforts.

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In this role, you will translate product and system requirements into manufacturing test coverage, drive the design of test stations and automation, and partner closely with suppliers and contract manufacturers to identify, root-cause, and eliminate yield issues and field escapes. This role is especially important in an environment where OpenAI depends on external partners and needs technical operators who can independently verify quality, challenge assumptions, and enforce repeatable, controlled execution.

Key Responsibilities:

• Develop and deploy manufacturing test solutions in collaboration with OpenAI’s global manufacturing partners.
• Define test requirements with NPI, hardware, and systems teams; drive Design for Test (DFT) to ensure testability and manufacturability.
• Maintain stable test operations for sustaining products, including deployment of software, firmware, and hardware updates to manufacturing test systems.
• Build and maintain automated test scripts to support functional testing, diagnostics, and new feature validation.
• Lead initiatives to improve test coverage, reduce test time, and lower manufacturing cost while maintaining product quality.
• Identify, analyze, and resolve manufacturing yield issues and field escapes; drive root cause and corrective actions to closure.
• Design, validate, and deploy test stations, fixtures, and tooling required for scalable production testing.
• Partner with NPI, manufacturing and supplier teams to ensure consistent and reliable test execution across sites.
• Develop and maintain documentation for test processes, procedures, and system configurations to ensure standardized practices.

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Responsibilities

• Develop and execute a comprehensive product strategy that is aligned to Saronic's vision and considerate of defense and commercial requirements.
• Oversee the product development lifecycle, from concept to launch to scaled production, ensuring that Saronic solutions meet high standards for autonomy, security, reliability, and performance.
• Create and maintain a detailed product roadmap, outlining product refresh cycles, feature enhancements, and timelines for product development.
• Collaborate closely with DoW and commercial maritime stakeholders, including program managers, engineers, and end-users.
• Engage with customers regularly to gather feedback, solicit input, and build strong relationships.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Business, or a related field.
• Shrewd judgement and a keen sense for what differentiates good products from bad.
• Diplomatic disposition with a proven track record of cross-functional collaboration.
• Strong technical background with knowledge of autonomous systems and/or constituent technologies.
• Mature written and verbal communication skills, with comfort and experience creating presentations, writing memos, and briefing senior personnel.

Benefits

• Medical Insurance: Comprehensive health insurance plans covering a range of services.
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care.
• Time Off: Generous PTO and Holidays.
• Parental Leave: Paid maternity and paternity leave to support new parents.
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses.
• Retirement Plan: 401(k) plan.
• Stock Options: Equity options to give employees a stake in the company’s success.
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage.
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office.

Physical Demands

• Prolonged periods of sitting and computer work.
• Occasional standing and walking within the office.
• Manual dexterity to operate computers and office equipment.
• Visual acuity to read screens and documents.
• Occasional reaching or lifting up to 20 pounds (e.g., equipment or supplies).

Additional Information

This role requires access to export-controlled information or items that require “U.S. Person” status.

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Compensation

• $86.4K – $228K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders such as Oracle today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced hardware professionals who can help ensure our high-density compute environment operates at peak performance.

About the Role

We are seeking a senior datacenter hardware operations technician to coordinate physical hardware activities at a large partner-operated campus. In this role you will work side-by-side with Oracle and their delivery teams, helping align OpenAI’s compute requirements with day-to-day hardware work on the ground. Rather than directing partner personnel, you will focus on collaboration, technical alignment, and shared problem solving, ensuring that maintenance, repairs, and lifecycle activities support the performance and reliability goals of both organizations. As the campus matures, you will help capture lessons learned and develop standards and playbooks to guide hardware operations at future OpenAI infrastructure projects.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

Responsibilities

• Serve as OpenAI’s primary on-site hardware contact, collaborating with Oracle teams and vendors to plan and coordinate maintenance, repairs, and lifecycle activities.

• Share technical requirements and verify that work performed supports OpenAI’s compute needs and agreed quality targets.

• Coordinate schedules, spare-parts planning, and issue escalation with partner teams to minimize downtime and keep operations running smoothly.

• Work with OpenAI fleet-health engineers to translate software-detected issues into on-site hardware actions in partnership with Oracle.

• Track hardware trends and provide joint recommendations with partner teams for design or operational improvements.

• Prepare documentation and runbooks that capture joint best practices and can be applied at additional campuses.

• Offer technical guidance and context to partner personnel while respecting their operational ownership.

• Collaborate with supply-chain teams to plan spares and manage hardware lifecycle activities.

Requirements

• Have 7+ years of experience in datacenter hardware operations, hardware engineering, or large-scale server maintenance, with at least 2 years in a senior or lead technician capacity.

• Bring deep knowledge of high-density server hardware, including x86 platforms, GPUs, storage devices, and power/cooling systems.

• Excel at diagnosing hardware issues, coordinating complex repairs, and maintaining strong working relationships across organizations.

• Are comfortable setting technical expectations and validating outcomes through collaboration, not direct management.

• Adapt quickly to changing operational conditions and enjoy solving problems at both the strategic and on-site levels.

• Communicate clearly and build trust across partner teams, vendors, and internal engineering stakeholders.

• Are willing to be based full-time at a partner-operated campus

Preferred Skills

• Familiarity with large-scale cluster management or monitoring tools (IPMI, BMC, Prometheus, Nagios) to interpret alerts and coordinate partner responses.

• Experience with GPU-accelerated compute clusters or other high-performance computing hardware.

• Knowledge of Linux/Unix system administration and command-line diagnostic tools for hardware validation.

• Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent.

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Camera ISP Software Engineer, Consumer Devices

Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Consumer Products team at OpenAI builds and ships end-to-end hardware and software experiences that bring frontier AI into the physical world. We work across industrial design, hardware engineering, embedded systems, and AI research to create category-defining consumer devices that feel intuitive, reliable, and deeply integrated with OpenAI’s models.

Within this organisation, the Camera team is responsible for delivering robust, production-ready imaging systems that operate under real-world constraints such as motion, power, latency, and manufacturing variation. Our work spans early silicon and board bring-up through mass production, and directly supports both user-facing experiences and on-device perception for AI-driven features.

We operate as a small, highly technical team with deep ownership, close cross-functional collaboration, and a strong bias toward shipping high-quality products rather than incremental demos.

About the Role

As a Camera ISP Software Engineer, you will own end-to-end ISP bring-up and tuning across prototype and production hardware. You’ll work across software tuning and hardware-accelerated pipelines to deliver stable, high-quality imaging under real-world constraints such as motion, power, and manufacturing variation.

This role is ideal for engineers who thrive in ambiguous early-stage environments, enjoy deep technical ownership, and take pride in shipping production-grade imaging systems.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own end-to-end ISP tuning and bring-up, from early prototypes through production hardware.

• Tune core 3A and image-quality blocks including AE, AWB, AF, noise reduction (spatial and temporal), sharpening, tone mapping, color correction, HDR/WDR, flicker mitigation, lens shading, defect pixel correction, and related ISP stages.

• Build repeatable capture and evaluation workflows, combining controlled lab sweeps with real-world validation.

• Validate robustness across sensor, module, and manufacturing variation with clear, defensible success criteria.

• Deliver production-grade tuning artifacts, including versioned tuning packs, parameter manifests, change logs, and curated RAW and processed datasets with supporting documentation.

• Partner closely with camera firmware, systems, and hardware teams to debug pipelines, configure sensors, and resolve board-level and silicon-level issues as designs evolve.

You might thrive in this role if you:

• Deep experience shipping ISP tuning for embedded or mobile camera products, from bring-up through production.

• Strong fundamentals across 3A (AE/AWB/AF), noise modeling, sharpening and detail trade-offs, tone mapping, and color pipelines.

• Proven ability to run data-driven tuning loops, including repeatable capture, rigorous evaluation, and disciplined versioning of tuning artifacts.

• Hands-on experience debugging end-to-end camera pipelines on real hardware, including RAW capture, processed outputs, and hardware-accelerated paths.

• Ability to collaborate cross-functionally and translate system-level constraints (power, latency, motion, reliability) into concrete tuning decisions and validation plans.

Preferred Qualifications

• Experience with common mobile or embedded SoC camera stacks and vendor frameworks.

• Experience tuning imaging pipelines explicitly for downstream machine-learning consumers, with iteration driven by model feedback.

• Experience designing motion-aware temporal imaging strategies that remain stable under rapid device or scene motion.

Experience Level

Mid

Employment Type

Full time

Workplace Type

Hybrid

Category

Engineering

Industry

Technology

Salary Range

$293K – $325K

Required Skills

• Camera ISP tuning
• Embedded systems
• AI research
• Industrial design
• Hardware engineering
• Machine learning
• Image processing
• Computer vision

Preferred Skills

• Mobile or embedded SoC camera stacks
• Vendor frameworks
• Imaging pipelines
• Motion-aware temporal imaging strategies
• Downstream machine-learning consumers
• Model feedback
• System-level constraints
• Power
• Latency
• Motion
• Reliability

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What you'll do

• Lead the development and implementation of simulator technology to support our racing drivers and teams
• Collaborate with cross-functional teams to ensure seamless integration of simulator technology with other systems and processes
• Develop and maintain high-quality software and hardware components of the simulator

What you need

• Strong technical skills in software development and hardware engineering
• Experience with simulator technology and its applications in motorsport
• Excellent communication and collaboration skills

Why this matters

As a key member of our team, you will play a critical role in supporting our racing drivers and teams to achieve success on the track. Your expertise and skills will help us to develop and implement innovative simulator technology that will give us a competitive edge in the world of motorsport.

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