[Hiring] Algorithms Engineer @Karman

Role Description

Karman is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. The Power Applications team takes power orchestration algorithms from idea to production. We develop, ship, and maintain the applications that run on Karman to orchestrate closed-loop control actions and deliver quantifiable customer value.

• Run two workflows in parallel:
  • Research and development to prove and mature new control, estimation, and forecasting capabilities.
  • Execution and continuous delivery to turn validated theory into reliable, deployable software.
• Work on allocating and enforcing power across servers, racks, and rows at high speed with hard reliability guarantees.
• Focus areas include:
  • Theory and prototyping: developing models, estimators, and control strategies.
  • Production delivery: implementing, validating, and tuning algorithms in production code.
  • Experimentation: designing, running, and analyzing experiments to decide which ideas ship.
• Hands-on, end-to-end role with continuous measurement, tuning, and improvement.

Qualifications

• Bachelor's degree in electrical engineering, computer science, applied mathematics, physics, mechanical or aerospace engineering, or a related quantitative field, or equivalent practical experience.
• Deep expertise in control systems and mathematical optimization.
• Track record of taking algorithms from concept to production in physical systems.
• Strong Python skills for prototyping and analysis.
• Comfort in a continuous delivery environment.
• Excellent written communication and habits of a strong remote teammate.
• Willingness to travel up to 10% of the time.

Requirements

• Advanced degree (MS or PhD) in control, electrical or mechanical engineering, applied mathematics, robotics, computer science, or a related field, or similar research experience.
• Background in power systems or data center electrical infrastructure.
• Experience with time series forecasting or learning-based control.
• Experience with GPU power management or LLM inference serving.
• Publications or open-source contributions in state estimation, optimization, or control.
• Experience driving model development workflows in DataBricks.

Benefits

• Salary range: $130,000 to $180,000 base compensation depending on experience plus stock options.
• Flexible work environment with flexible paid time off.
• Competitive compensation and benefits, including health, dental, vision, and employer-match 401k.

Company Description

Karman values the diversity of our team and provides equal employment opportunities without regard to various protected statuses. We are committed to:

• Creating a diverse and inclusive workplace.
• Empowering employees to solve problems collaboratively.
• Providing mentorship and growth opportunities.