Software Engineer, Frontier Systems - Power Management Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Software Engineer, Frontier Systems - Power Management Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Software Engineer, Frontier Systems - Power Management at OpenAI
Role Overview
Join OpenAI's Frontier Systems team as a Software Engineer specializing in Power Management in San Francisco, California. This senior-level role is at the heart of building and maintaining the world's largest supercomputers that power OpenAI's most advanced AI model training. With hyperscale systems consuming massive amounts of power, your expertise will ensure efficient, reliable operations while maximizing computational capacity for frontier AI research.
The Frontier Systems team transforms data center designs into operational realities, developing custom software for large-scale model training. Your focus on power management will involve system-level investigations, automation development, and cross-functional collaboration to stabilize power usage during intensive training workloads. This position offers high autonomy, ownership, and the chance to impact OpenAI's cutting-edge infrastructure.
Power management in supercomputing is mission-critical. These systems must balance enormous power demands with grid stability, preventing fluctuations that could disrupt training runs or strain electrical infrastructure. You'll build solutions that monitor, analyze, and optimize power at scale, working alongside hardware engineers, researchers, and infrastructure teams.
Ideal candidates bring 7+ years of experience tackling complex system challenges, strong Python skills, and knowledge of electrical engineering concepts like digital signal processing and power systems. If you've optimized power in data centers or supercomputers, this is your opportunity to work on infrastructure that defines the future of AI.
Key Responsibilities
As a Software Engineer in Power Management, you'll drive innovations that keep OpenAI's supercomputers running at peak efficiency. Here's what you'll do daily:
- Develop system-level and software solutions to optimize power usage across large-scale supercomputers, ensuring reliable operations during AI training.
- Build automation for monitoring power consumption patterns in training workloads and design stabilization algorithms to mitigate grid-impacting fluctuations.
- Collaborate with researchers to create real-time tools for detecting and remediating power-related hardware and system faults.
- Translate complex electrical requirements into scalable code, driving continuous power management improvements.
- Implement IT-level power throttling to dynamically adjust usage based on workload and infrastructure constraints.
- Partner with hardware teams to embed power control features into IT designs for seamless software-hardware integration.
- Conduct deep system investigations into power anomalies using noisy data analysis with SQL, PromQL, and Pandas.
- Scale distributed systems for aggregating streaming power data from thousands of nodes.
- Automate fault detection and remediation at hyperscale, minimizing downtime in frontier model training.
- Optimize synchronous workload power characteristics unique to supercomputing environments.
- Ensure grid-level stability for massive power draws during peak AI training phases.
- Contribute to the full lifecycle from design to deployment of power-efficient infrastructure.
These responsibilities demand a proactive engineer who thrives on ownership and deep problem-solving in high-stakes environments.
Qualifications
To succeed, you'll need proven expertise in large-scale systems and power optimization:
- 7+ years software engineering experience focused on system-level challenges in distributed environments.
- Expert Python proficiency with automation tools like shell scripting for production systems.
- Hands-on experience with distributed systems for real-time streaming data aggregation and analysis.
- Solid understanding of electrical concepts: digital signal processing, power systems, Fast Fourier Transforms.
- Track record of system investigations and automated solutions for power management and fault remediation.
- Advanced analytical skills handling noisy datasets (SQL, PromQL, Pandas, etc.).
- Experience bridging hardware and software teams on multidisciplinary power problems.
- Bonus: Deep knowledge of synchronous workload power profiles in supercomputing or AI training.
- Bonus: Expertise driving power requirements into IT hardware design collaboratively.
OpenAI values engineers who dive deep, automate ruthlessly, and deliver at scale.
Salary & Benefits
Compensation at OpenAI is competitive for top talent. For this senior Software Engineer role in San Francisco, expect total compensation in the range of $250,000 - $400,000 USD annually, including base salary, equity, and bonuses (exact figures depend on experience).
Benefits include:
- Comprehensive medical, dental, vision coverage
- 401(k) with matching
- Unlimited PTO
- Generous parental leave
- Wellness stipends and mental health support
- Office perks: meals, gym, commuter benefits
- Professional growth budget
- Equity in OpenAI's future
Why Join OpenAI?
OpenAI is leading the AI revolution, and the Frontier Systems team powers it with unprecedented supercomputing infrastructure. Work on problems that matter: building reliable systems for training models that could transform humanity. Enjoy high autonomy, collaboration with world-class talent, and direct impact on OpenAI's mission.
San Francisco location offers vibrant tech ecosystem, with hybrid flexibility. Join a team that's launching the largest supercomputers ever built.
How to Apply
Ready to optimize power for frontier AI? Submit your resume and a note on your most impactful power management project. OpenAI hires curious, capable builders. Apply now to shape the future!
Locations
- San Francisco, California, United States
Salary
262,500 - 440,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python programmingintermediate
- Distributed systemsintermediate
- Power management systemsintermediate
- Automation scriptingintermediate
- Shell scriptingintermediate
- SQL queryingintermediate
- PromQLintermediate
- Pandas data analysisintermediate
- Digital signal processingintermediate
- Fast Fourier Transformsintermediate
- Electrical engineeringintermediate
- Power systems analysisintermediate
- Real-time monitoringintermediate
- Fault detectionintermediate
- System-level debuggingintermediate
- Cross-functional collaborationintermediate
- Data center infrastructureintermediate
- Supercomputing optimizationintermediate
- Workload throttlingintermediate
- Hardware-software integrationintermediate
Required Qualifications
- 7+ years of software engineering experience with a focus on large-scale, system-level challenges (experience)
- Strong proficiency in Python and familiarity with automation and scripting tools like shell scripting (experience)
- Experience with distributed systems for aggregating and analyzing streaming data at scale (experience)
- Knowledge of electrical engineering concepts including digital signal processing and power systems (experience)
- Experience with Fast Fourier Transforms or related signal analysis techniques (experience)
- Proven track record in system-level investigations and developing automated solutions for power management (experience)
- Strong analytical skills for digging into noisy data using tools like SQL, PromQL, or Pandas (experience)
- Comfort working with both hardware and software teams on multidisciplinary problems (experience)
- Deep expertise with power characteristics of synchronous workloads in supercomputing environments (experience)
- Knowledge of power control requirements in IT hardware design and cross-functional integration (experience)
- Ability to build tools for real-time monitoring, detection, and remediation of power-related faults (experience)
- Experience optimizing power usage in hyperscale data centers or supercomputers (experience)
Responsibilities
- Develop and implement system-level and software-level solutions to optimize power usage in large-scale supercomputers
- Build automation to monitor power consumption patterns during AI model training workloads
- Design algorithms to stabilize power fluctuations and prevent grid reliability issues
- Work with researchers and engineers to create tools for real-time power monitoring and fault detection
- Collaborate cross-functionally to translate complex electrical system requirements into production code
- Drive continuous improvements in power management solutions for hyperscale infrastructure
- Develop power throttling mechanisms at the IT system level to dynamically adjust based on workload demands
- Integrate system-level power control requirements into IT hardware design with hardware teams
- Conduct comprehensive system-level investigations into power-related anomalies and inefficiencies
- Aggregate and analyze streaming power data from distributed supercomputing clusters
- Automate detection and remediation of hardware and system faults related to power management
- Ensure reliable and efficient operations of frontier supercomputers during cutting-edge model training
- Optimize computational capacity by maximizing power efficiency in high-density GPU clusters
- Collaborate on stabilizing hyperscale supercomputers for grid-level power stability
Benefits
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance coverage
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO and flexible vacation policy
- general: Remote-friendly work environment with in-office perks
- general: Fully covered meals and snacks in San Francisco office
- general: Mental health support and wellness stipends
- general: Professional development budget for conferences and courses
- general: Generous parental leave policy (16+ weeks)
- general: Commuter benefits and gym memberships
- general: Employee stock purchase plan opportunities
- general: Work on world-changing AI infrastructure projects
- general: Collaborate with top researchers and engineers at OpenAI
- general: High autonomy and ownership of critical systems
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer, Frontier Systems - Power Management Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs
Software Engineer, Frontier Systems - Power Management Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Software Engineer, Frontier Systems - Power Management Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Software Engineer, Frontier Systems - Power Management at OpenAI
Role Overview
Join OpenAI's Frontier Systems team as a Software Engineer specializing in Power Management in San Francisco, California. This senior-level role is at the heart of building and maintaining the world's largest supercomputers that power OpenAI's most advanced AI model training. With hyperscale systems consuming massive amounts of power, your expertise will ensure efficient, reliable operations while maximizing computational capacity for frontier AI research.
The Frontier Systems team transforms data center designs into operational realities, developing custom software for large-scale model training. Your focus on power management will involve system-level investigations, automation development, and cross-functional collaboration to stabilize power usage during intensive training workloads. This position offers high autonomy, ownership, and the chance to impact OpenAI's cutting-edge infrastructure.
Power management in supercomputing is mission-critical. These systems must balance enormous power demands with grid stability, preventing fluctuations that could disrupt training runs or strain electrical infrastructure. You'll build solutions that monitor, analyze, and optimize power at scale, working alongside hardware engineers, researchers, and infrastructure teams.
Ideal candidates bring 7+ years of experience tackling complex system challenges, strong Python skills, and knowledge of electrical engineering concepts like digital signal processing and power systems. If you've optimized power in data centers or supercomputers, this is your opportunity to work on infrastructure that defines the future of AI.
Key Responsibilities
As a Software Engineer in Power Management, you'll drive innovations that keep OpenAI's supercomputers running at peak efficiency. Here's what you'll do daily:
- Develop system-level and software solutions to optimize power usage across large-scale supercomputers, ensuring reliable operations during AI training.
- Build automation for monitoring power consumption patterns in training workloads and design stabilization algorithms to mitigate grid-impacting fluctuations.
- Collaborate with researchers to create real-time tools for detecting and remediating power-related hardware and system faults.
- Translate complex electrical requirements into scalable code, driving continuous power management improvements.
- Implement IT-level power throttling to dynamically adjust usage based on workload and infrastructure constraints.
- Partner with hardware teams to embed power control features into IT designs for seamless software-hardware integration.
- Conduct deep system investigations into power anomalies using noisy data analysis with SQL, PromQL, and Pandas.
- Scale distributed systems for aggregating streaming power data from thousands of nodes.
- Automate fault detection and remediation at hyperscale, minimizing downtime in frontier model training.
- Optimize synchronous workload power characteristics unique to supercomputing environments.
- Ensure grid-level stability for massive power draws during peak AI training phases.
- Contribute to the full lifecycle from design to deployment of power-efficient infrastructure.
These responsibilities demand a proactive engineer who thrives on ownership and deep problem-solving in high-stakes environments.
Qualifications
To succeed, you'll need proven expertise in large-scale systems and power optimization:
- 7+ years software engineering experience focused on system-level challenges in distributed environments.
- Expert Python proficiency with automation tools like shell scripting for production systems.
- Hands-on experience with distributed systems for real-time streaming data aggregation and analysis.
- Solid understanding of electrical concepts: digital signal processing, power systems, Fast Fourier Transforms.
- Track record of system investigations and automated solutions for power management and fault remediation.
- Advanced analytical skills handling noisy datasets (SQL, PromQL, Pandas, etc.).
- Experience bridging hardware and software teams on multidisciplinary power problems.
- Bonus: Deep knowledge of synchronous workload power profiles in supercomputing or AI training.
- Bonus: Expertise driving power requirements into IT hardware design collaboratively.
OpenAI values engineers who dive deep, automate ruthlessly, and deliver at scale.
Salary & Benefits
Compensation at OpenAI is competitive for top talent. For this senior Software Engineer role in San Francisco, expect total compensation in the range of $250,000 - $400,000 USD annually, including base salary, equity, and bonuses (exact figures depend on experience).
Benefits include:
- Comprehensive medical, dental, vision coverage
- 401(k) with matching
- Unlimited PTO
- Generous parental leave
- Wellness stipends and mental health support
- Office perks: meals, gym, commuter benefits
- Professional growth budget
- Equity in OpenAI's future
Why Join OpenAI?
OpenAI is leading the AI revolution, and the Frontier Systems team powers it with unprecedented supercomputing infrastructure. Work on problems that matter: building reliable systems for training models that could transform humanity. Enjoy high autonomy, collaboration with world-class talent, and direct impact on OpenAI's mission.
San Francisco location offers vibrant tech ecosystem, with hybrid flexibility. Join a team that's launching the largest supercomputers ever built.
How to Apply
Ready to optimize power for frontier AI? Submit your resume and a note on your most impactful power management project. OpenAI hires curious, capable builders. Apply now to shape the future!
Locations
- San Francisco, California, United States
Salary
262,500 - 440,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python programmingintermediate
- Distributed systemsintermediate
- Power management systemsintermediate
- Automation scriptingintermediate
- Shell scriptingintermediate
- SQL queryingintermediate
- PromQLintermediate
- Pandas data analysisintermediate
- Digital signal processingintermediate
- Fast Fourier Transformsintermediate
- Electrical engineeringintermediate
- Power systems analysisintermediate
- Real-time monitoringintermediate
- Fault detectionintermediate
- System-level debuggingintermediate
- Cross-functional collaborationintermediate
- Data center infrastructureintermediate
- Supercomputing optimizationintermediate
- Workload throttlingintermediate
- Hardware-software integrationintermediate
Required Qualifications
- 7+ years of software engineering experience with a focus on large-scale, system-level challenges (experience)
- Strong proficiency in Python and familiarity with automation and scripting tools like shell scripting (experience)
- Experience with distributed systems for aggregating and analyzing streaming data at scale (experience)
- Knowledge of electrical engineering concepts including digital signal processing and power systems (experience)
- Experience with Fast Fourier Transforms or related signal analysis techniques (experience)
- Proven track record in system-level investigations and developing automated solutions for power management (experience)
- Strong analytical skills for digging into noisy data using tools like SQL, PromQL, or Pandas (experience)
- Comfort working with both hardware and software teams on multidisciplinary problems (experience)
- Deep expertise with power characteristics of synchronous workloads in supercomputing environments (experience)
- Knowledge of power control requirements in IT hardware design and cross-functional integration (experience)
- Ability to build tools for real-time monitoring, detection, and remediation of power-related faults (experience)
- Experience optimizing power usage in hyperscale data centers or supercomputers (experience)
Responsibilities
- Develop and implement system-level and software-level solutions to optimize power usage in large-scale supercomputers
- Build automation to monitor power consumption patterns during AI model training workloads
- Design algorithms to stabilize power fluctuations and prevent grid reliability issues
- Work with researchers and engineers to create tools for real-time power monitoring and fault detection
- Collaborate cross-functionally to translate complex electrical system requirements into production code
- Drive continuous improvements in power management solutions for hyperscale infrastructure
- Develop power throttling mechanisms at the IT system level to dynamically adjust based on workload demands
- Integrate system-level power control requirements into IT hardware design with hardware teams
- Conduct comprehensive system-level investigations into power-related anomalies and inefficiencies
- Aggregate and analyze streaming power data from distributed supercomputing clusters
- Automate detection and remediation of hardware and system faults related to power management
- Ensure reliable and efficient operations of frontier supercomputers during cutting-edge model training
- Optimize computational capacity by maximizing power efficiency in high-density GPU clusters
- Collaborate on stabilizing hyperscale supercomputers for grid-level power stability
Benefits
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance coverage
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO and flexible vacation policy
- general: Remote-friendly work environment with in-office perks
- general: Fully covered meals and snacks in San Francisco office
- general: Mental health support and wellness stipends
- general: Professional development budget for conferences and courses
- general: Generous parental leave policy (16+ weeks)
- general: Commuter benefits and gym memberships
- general: Employee stock purchase plan opportunities
- general: Work on world-changing AI infrastructure projects
- general: Collaborate with top researchers and engineers at OpenAI
- general: High autonomy and ownership of critical systems
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer, Frontier Systems - Power Management Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs