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About the Role

As a Software Engineer, you will build and deploy applications utilizing AI-driven physics models to help customers solve complex engineering problems, enabling them to build better, faster, and cheaper products. You will collaborate directly with customers, data scientists, and machine learning engineers to develop innovative solutions.

Responsibilities

• Build and deploy applications that utilize AI-driven physics models.
• Collaborate with customers, data scientists, and machine learning engineers.
• Develop applications that change the way advanced engineering is done.
• Grasp advanced engineering concepts across multiple industries.
• Understand the problems engineers face and build tools to solve them.
• Travel to customer sites in North America, Europe, Asia, Oceania for an average of 3-4 weeks per quarter.
• Collaborate closely with customers to build solutions on-site.
• Collaborate with data scientists and machine learning engineers to ship physics models.
• Work with designers and front-end engineers to shape the UX.
• Shape tools with customers that are impactful for their teams.
• Construct low-lift prototypes and ship them directly to the customer.
• Rapidly iterate on user experience through constant user feedback.
• Build and maintain RESTful APIs (FastAPI) and microservices in Python.
• Serve Large Physics Models to end users.
• Deploy applications to the cloud using Helm, Kubernetes, Terraform, and AWS/Azure.
• Distill complex solutions into fundamental components.
• Pitch and execute the development of features on top of the core platform.
• Drive the direction of PhysicsX to solve harder problems.

Requirements

• Track record of solving hard problems.
• Solid foundation in software engineering.
• Experience with API design.
• Experience deploying applications to production.
• Proactive and demonstrate high ownership.
• Go-getter mentality, inclined to find and solve problems end-to-end.
• Own responsibility to get things done and pick up necessary skills quickly.
• Customer-obsessed.
• Ability to work alongside customers to understand their problems.
• May require access to information protected under U.S. export control laws and regulations.
• Offer of employment may be conditioned on authorization to receive controlled software or technology without sponsorship for an export license.

Skills

• Software Engineering
• API Design
• Deploying Applications to Production
• RESTful APIs
• FastAPI
• Microservices
• Python
• Helm
• Kubernetes
• Terraform
• AWS
• Azure

Location

• North America
• Europe
• Asia
• Oceania

Work Type

• Full-time
• On-site collaboration during travel

Experience Level

• Seniority will be assessed as part of the interview process

Education Level

• Background in Mechanical Engineering or similar is a plus.

Salary/Compensations

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

Benefits

• Equity options
• 5% contribution to 401(k)
• Free team lunch 1x/week
• Private health insurance
• Enhanced parental leave (3 months full pay paternity, 6 months full pay maternity)
• 20 days of Annual Leave (+ Public Holidays)
• Personal development support
• Gympass / Wellhub (subsidized) for employee and up to 3 family members
• Flexible Spending Account (FSA)

About the Company

• PhysicsX is a deep-tech company with roots in numerical physics and Formula One.
• Dedicated to accelerating hardware innovation at the speed of software.
• Building an AI-driven simulation software stack for engineering and manufacturing across advanced industries.
• Enables high-fidelity, multi-physics simulation through AI inference.
• Unlocks new levels of optimization and automation in design, manufacturing, and operations.
• Empowers engineers to push the boundaries of possibility.
• Customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Equal Opportunity

• We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity.
• Strongly encourage individuals from groups traditionally underrepresented in tech to apply.
• Sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
• Collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of equal opportunities policies and ensuring compliance with UK employment and equality legislation.
• Diversity and inclusion data is confidential, used only in aggregate form, and will not influence the outcome of your application.