xAI is building Colossus, the world's largest AI supercomputer, in Memphis. As a Power Generation Engineer, you will play a pivotal role in powering this infrastructure.

You will oversee the daily operations of natural gas turbines and associated power generation equipment, ensuring optimal performance and compliance with safety and environmental standards.

Monitor and analyse power generation systems to detect and resolve issues proactively, minimising downtime and maximising efficiency for the datacentre's massive computational demands.

Collaborate with cross-functional teams to integrate power systems seamlessly with AI infrastructure needs.

Conduct regular maintenance, troubleshooting, and upgrades on turbines, generators, and control systems to support scalable power requirements.

Develop and implement strategies for energy efficiency, cost reduction, and sustainable power generation practices.

Lead root cause analysis for any power-related incidents and drive continuous improvement initiatives.

Ensure all operations adhere to regulatory requirements, including those from local, state, and federal agencies governing natural gas plants.

Mentor junior engineers and technicians, fostering a culture of excellence and innovation in power management.

Basic Qualifications

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or a related field.

5+ years of experience in power generation, with a focus on natural gas plants, turbines, or similar high-reliability energy systems.

Strong understanding of turbine operations, control systems, and power distribution in industrial settings.

Proven track record in troubleshooting complex mechanical and electrical issues in power generation environments.

Familiarity with safety protocols, environmental regulations, and industry standards (e.g., ASME, IEEE).

Preferred Skills and Experience

Master's degree in a relevant engineering discipline.

8+ years of experience, including leadership roles in power plant operations or datacentre energy management.

Expertise in natural gas turbine technologies (e.g., GE, Siemens) and combined cycle power plants.

Knowledge of renewable energy integration or hybrid power systems.

Certifications such as PE (Professional Engineer) or CEM (Certified Energy Manager).

Prior work in high-tech or mission-critical facilities, such as datacentres or aerospace.

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Responsibilities:

• Drive execution of our technical requirements for third-party data center delivery partners, ensuring design intent is consistently translated from BOD through construction documents.
• Define the design execution framework,deliverable requirements, review gates, and quality standards,for each partner engagement.
• Drive accountability for partner deliverable quality across milestones, evaluating deliverables for cross-discipline consistency and alignment to our requirements.
• Partner with external design teams and stakeholders to execute design document development and issuance across all project phases.

Change Management & Technical Continuity:

• Own the design change management process across projects, ensuring technical decisions are documented, resolved, and implemented through construction.
• Review and develop responses to contractor RFIs, maintaining design intent while accommodating field conditions.
• Own technical continuity across design, construction, commissioning, and turnover, driving alignment between internal leads on phase transition standards and acceptance criteria.
• Support project closeout and as-built documentation processes.

Constructability & Risk Management:

• Facilitate constructability review processes between design and construction teams, identifying integration risks and maintaining alignment between design intent and field execution as conditions evolve.
• Identify and mitigate design risks; ensure robust QA/QC practices across the design and construction lifecycle.
• Perform project site reviews and deliver technical reports on design compliance and construction progress.

Cross-Functional Coordination:

• Interface with internal stakeholders,construction execution, supply chain, facilities operations, and security,to align design solutions with technical and business objectives.
• Partner with internal teams to define infrastructure requirements and translate them into actionable design criteria for external partners.
• Identify and implement opportunities for process improvements, design optimization, and schedule/performance/cost tradeoffs.
• Review commissioning scripts and final reports to validate performance and functionality against our standards.

Qualifications:

• 10+ years in data center or mission-critical infrastructure delivery, spanning design and delivery phases.
• Direct experience in owner's engineer or technical oversight roles,not purely design production or purely project management.
• Working knowledge of mechanical, electrical, and cooling systems in data center environments.
• Experience managing design change processes, RFIs, and construction documentation workflows.
• Track record of coordinating across multiple disciplines and organizations on complex infrastructure projects.
• Deep knowledge of industry standards, building codes, and safety standards applicable to mission-critical facilities.
• Comfortable operating with authority in ambiguous environments where processes need to be built, not just followed.
• BS in Mechanical Engineering, Electrical Engineering, Architecture, or related field.

Preferred:

• Professional Engineer (PE) or Registered Architect (RA) license.
• Experience stamping construction drawing packages.
• Proficiency with Revit/BIM, Autodesk, or similar design software applications.
• Experience integrating sustainability, energy efficiency, and resiliency goals into data center system designs.
• Direct experience with large-scale AI/HPC infrastructure, including high-density cooling systems and power distribution at 50+ MW scale.

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Your responsibilities will include monitoring and analyzing power generation systems to detect and resolve issues proactively, minimizing downtime and maximizing efficiency for the datacenter's massive computational demands. You will collaborate with cross-functional teams, including electrical engineers and datacenter operations, to integrate power systems seamlessly with AI infrastructure needs.

You will conduct regular maintenance, troubleshooting, and upgrades on turbines, generators, and control systems to support scalable power requirements. You will develop and implement strategies for energy efficiency, cost reduction, and sustainable power generation practices.

You will lead root cause analysis for any power-related incidents and drive continuous improvement initiatives. You will ensure all operations adhere to regulatory requirements, including those from local, state, and federal agencies governing natural gas plants.

You will mentor junior engineers and technicians, fostering a culture of excellence and innovation in power management.

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This role bridges optics, mechanics, and environmental constraints by developing ruggedized camera enclosures, mounting systems, and sensor integration strategies that perform in harsh maritime conditions. You will collaborate with hardware, perception, and autonomy engineer teams to ensure our vision systems are robust, reliable, and high-performing at sea.

Responsibilities:

• Designs and develops optomechanical assemblies for cameras and imaging sensors, including lens mounts, enclosures, gimbals, and thermal control elements
• Collaborates with hardware, perception, and autonomy engineers to define mechanical and optical requirements for camera systems, including field of view, lensing, placement, and alignment
• Performs detailed tolerance analysis to ensure structural integrity of components in vibration and shock-prone marine environments
• Selects and integrates commercial off-the-shelf (COTS) and custom components to meet SWaP (size, weight, and power) constraints
• Develops test plans and leads environmental and performance validation (e.g., IP rating, vibration testing, temperature cycling)
• Supports rapid prototyping and iterative development, including 3D printing, machining, and on-water testing
• Maintains detailed documentation of designs, analysis, and revisions in support of product lifecycle and compliance needs

Required Qualifications:

• Bachelor's degree or greater in Mechanical Engineering, Optical Engineering, or related field
• 2+ years of experience designing optomechanical systems or camera integration in rugged environments
• Proficiency in CAD software (e.g., SolidWorks, Creo) and mechanical analysis tools (FEA, thermal modeling)
• Proficiency in producing detailed engineering drawings for prototyping and manufacturing
• Proficiency with optical principles, including alignment, lens selection, MTF, and FOV constraints
• Experience with environmental sealing (IP67+), thermal management, and vibration isolation
• Familiarity with camera sensor technologies (visible, IR, multispectral) and their mechanical considerations
• Experience working on autonomous systems or robotics platforms (ground, air, or maritime) is preferred
• Background in defense, aerospace, or other regulated hardware environments is preferred
• Experience with optical coatings, anti-reflective treatments, or lens fogging mitigation is preferred

Preferred Qualifications:

• Experience with maritime autonomy challenges such as dynamic environments, variable lighting, and low-contrast targets.
• Proven success developing, integrating, and validating optical & sensor systems on maritime or aerospace platforms
• Experience with design and testing for shock and vibration environments
• Prior experience working on DoD programs or unmanned maritime systems.
• A professional engineering license or similar professional certification
• ASME Y14.5 certification

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Saronic pays 100% of the premium for employees and 80% for dependents
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents
• 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
• Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

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Research Engineer / Machine Learning Engineer - B2B Applications

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $295K – $445K • 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

OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Voice Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems.

About the Role

As a Research Engineer in OpenAI's Applied Voice Team, you will have the opportunity to work with some of the brightest minds in AI. You'll design and build state-of-the-art speech models (speech-to-speech, transcribing, text to speech, etc.) and help turn research breakthroughs into tangible solutions in B2B applications, API and ChatGPT AVM. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.

In this role, you will:

• Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.

• Collaborate with the Best: Work closely with software engineers, product managers and forward deployed engineers to understand complex business challenges, address customer concerns and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.

• Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.

• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.

• Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

You might thrive in this role if you:

• Master's/ PhD degree in Computer Science, Machine Learning, or a related field.

• 2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies.

• Demonstrated experience in deep learning and transformers models

• Proficiency in frameworks like PyTorch or Tensorflow

• Strong foundation in data structures, algorithms, and software engineering principles.

• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization

• Experience with speech models is a plus.

• Excellent problem-solving and analytical skills, with a proactive approach to challenges.

• Ability to work collaboratively with cross-functional teams.

• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

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.

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Location

San Francisco; New York City; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $230K – $385K • 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

OpenAI’s mission is to make AGI beneficial for all of humanity and our mission is successful only if AGI drives _real_ _benefits_ across all industries in the world. Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth.

We build and operate the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI’s technology is delivered with reliability, security, and a world-class user experience.

About the Role

We’re looking for backend engineers to design and scale the systems that drive our developer and enterprise-facing products. In this role, you’ll architect and maintain the services and infrastructure that power OpenAI applications—from large-scale distributed systems and databases to APIs and data pipelines. You’ll collaborate closely with product, research, and infrastructure teams to bring new AI capabilities to production while ensuring performance, safety, and compliance at global scale.

In this role, you will:

• Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems

• Collaborate closely with product, design and external customers to understand problems and implement effective solutions

• Work with the research team to improve our next generation of models

Your background might look something like:

• 2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

• Former founder, or early engineer at a startup who has built a product from scratch is a plus

• Are proficient in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts.

• Enjoy building infrastructure that supports billions of requests and petabytes of data.

• Care deeply about reliability, safety, and performance in production environments.

• Interest in AI/ML (direct experience not required)

• Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.

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.

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