PhysicsX

PhysicsX

Senior Forward Deployed Software Engineer

New York, United States · Senior

H1B sponsorship available$150k-$250kDetected 6 days ago
PythonFastAPIBackend DevelopmentFull-Stack DevelopmentAWSAzureKubernetesTerraformHelmAPI DevelopmentRESTMachine LearningMechanical Design

About the role

  • Your role, first and foremost, is to help our customers solve their most important problems.
  • Note: This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).
  • Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Responsibilities

  • Build what actually matters
  • Building meaningful technology is a marathon, not a sprint.

Requirements

  • This is work with real-world impact - and something you can be proud to stand behind.

Nice to have

  • We work across a wide range of engineering disciplines, all of which are high complexity.
  • Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus.

Skills

  • Construct low-lift prototypes of your ideas and ship them directly to the customer.
  • Rapidly iterate on this experience through constant user feedback.

Compensation

  • $150,000 - $250,000 depending on experience

Benefits

  • 🚀 Equity options - share meaningfully in the company you're helping to build.
  • 💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

Company info

  • PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
  • We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
  • Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
  • The Role
  • We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries.
  • By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility.
  • Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
  • Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like.
  • Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customers.

Equal opportunity

  • We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation.

Visa & Work Authorization

  • This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).
  • Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
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This listing is sourced directly from PhysicsX's careers page and normalized into a canonical job model.