Product Engineer

Location

San Francisco, CA

Work Arrangement: On-site — 5 days per week
Position: Full-time
Company Stage: Early-stage, Pre-Seed
Experience: 5–8 years ideal; candidates with 2–3+ years may be considered, with approximately 15 years as the upper range
Compensation: $180,000–$250,000 base salary
Equity: Competitive equity package
Openings: 5
Visa: Open to active, transferable work authorization, including eligible OPT and H-1B transfers. U.S. citizens and permanent residents are preferred for certain customer engagements.

Company Description

We are building an AI platform that is transforming how complex engineering simulations are performed.

Traditional engineering simulation software relies on numerical methods that can take hours or even days to produce results. Our platform uses advanced AI models trained to understand the underlying physics of real-world systems, helping engineers run simulations and analyze results significantly faster.

The company is developing its own physics foundation models and proprietary model architecture rather than simply building applications on top of existing language models. Its technology is being applied to complex engineering problems across industries such as automotive, energy, and other industrial sectors.

You'll join a small, highly technical team of researchers and engineers working at the intersection of AI, physics, and engineering. As a Product Engineer, you'll work directly with researchers and the founding team to turn advanced research into practical, reliable software used by engineering teams.

This is a high-ownership opportunity to build the customer-facing product from the ground up. You'll work across frontend, APIs, backend services, and data systems, taking features from initial design through deployment and ongoing production reliability.

What You Will Do

• Own the customer-facing product: Build and extend the platform that allows engineers to interact with advanced AI-powered simulation technology.

• Build end-to-end engineering workflows: Develop product experiences for importing CAD and 3D geometry, configuring model jobs, running simulations, and visualizing results.

• Work across the full stack: Own frontend interfaces, APIs, backend services, and data systems rather than working within a single specialized layer.

• Turn research into product: Collaborate directly with researchers to translate advanced model capabilities into usable, reliable customer-facing workflows.

• Build reliable production systems: Take ownership of rollouts, migrations, application reliability, and the overall quality of the product.

• Develop customer-facing features: Build software that external engineering teams and technical users depend on in their day-to-day workflows.

• Own projects from start to finish: Take features from requirements and technical design through implementation, deployment, and ongoing improvements.

• Improve product usability: Build intuitive interfaces that make complex engineering and simulation workflows easier for users to operate.

• Work closely with the founding team: Collaborate directly with the CEO and engineering team to shape product priorities and technical direction.

• Contribute across technical domains: Move comfortably between frontend, backend, APIs, and data systems as the product and customer requirements evolve.

Ideal Candidate Background

Required Experience

• Approximately 5–8 years of professional software engineering experience, ideally across full-stack or product engineering roles.

• Candidates with 2–3+ years of experience may be considered if they demonstrate strong ownership and technical ability. Candidates with up to approximately 15 years may also be considered.

• Experience working at an early-stage startup or a technology scale-up.

• Experience building and shipping customer-facing products that real external users depend on.

• Experience owning features end to end, from initial specifications through implementation, rollout, migrations, and production reliability.

• Strong full-stack engineering capabilities, with experience across frontend, APIs, backend services, and data systems.

• Strong experience with React and TypeScript, alongside Python or transferable equivalents.

• Ability to work across the stack rather than focusing exclusively on frontend or backend development.

• Experience taking ownership of technical problems and delivering solutions independently.

• Comfort working in a small, fast-moving team where requirements and priorities can evolve.

• Ability to collaborate closely with researchers, engineers, and company leadership.

• Willingness to work on-site in San Francisco five days per week.

Technical Skills

Frontend Engineering

• React.

• TypeScript.

• Next.js.

• Building customer-facing web applications.

• Developing interactive product workflows and interfaces.

Backend and API Development

• Python.

• REST APIs.

• Backend application development.

• Data systems and application architecture.

• Integration between frontend applications and backend services.

Full-Stack Product Engineering

• End-to-end feature ownership.

• Customer-facing product development.

• Application reliability and production deployment.

• Rollouts and migrations.

• Working across frontend, APIs, backend, and data systems.

Relevant Technologies and Areas

• CAD and 3D geometry workflows.

• 3D or scientific visualization.

• WebGL.

• Computer-aided engineering (CAE).

• Enterprise authentication.

• Customer-controlled deployments.

Candidates do not need experience with every technology listed. React, TypeScript, and Python are the current stack, but equivalent technical experience is acceptable. Prioritize strong product engineering fundamentals, full-stack ownership, and the ability to ship reliable software used by external customers.

Preferred Background

• Experience as an early engineer or an early member of a startup engineering team.

• Experience at a technology scale-up with a fast-moving product organization.

• Strong academic background in Computer Science or Engineering.

• Undergraduate degree in Physics or Mechanical Engineering.

• Interest in physics, engineering, or scientific computing.

• Experience with 3D visualization, WebGL, CAD, or CAE.

• Experience building software for technical users, engineers, or scientific teams.

• Experience with enterprise authentication or customer-controlled deployments.

• Experience working closely with research teams to turn technical capabilities into production products.

Physics or simulation experience is not required. Candidates should not be rejected solely because they have not worked in these areas.

Working Style and Culture

• High ownership: Takes responsibility for features and product outcomes from initial specification through production.

• Full-stack mindset: Comfortable working across frontend, backend, APIs, and data systems.

• Product-minded: Understands customer needs and translates them into useful product experiences.

• Hands-on: Enjoys writing code and shipping real features rather than operating only at an architectural or management level.

• Adaptable: Comfortable switching between technical areas and working in a small engineering team.

• Collaborative: Enjoys working directly with researchers, engineers, and company leadership.

• Comfortable with ambiguity: Can make progress without relying on highly structured processes or detailed instructions.

• Execution-focused: Can move quickly while maintaining reliability and quality in production.

Compensation and Benefits

• Base salary: $180,000–$250,000, depending on experience and skills.

• Equity: Competitive equity package.

• Work arrangement: Full-time, on-site in San Francisco, five days per week.

• Medical and dental: Fully covered medical and dental benefits.

• Meals: Daily lunch and dinner provided at the office.

• Additional benefits: Monthly wellness, commute, and AI tool stipends.

Why Join?

• Build technology at the frontier of AI and engineering: Work on foundation models designed to solve complex physics and engineering problems.

• Own the product end to end: Take responsibility for the customer-facing platform across frontend, APIs, backend, and data systems.

• Work directly with researchers: Collaborate with people developing advanced AI models and help turn their research into practical software.

• Have a direct impact: Build products used by engineering teams working on real-world industrial and scientific problems.

• Join at an early stage: Have meaningful influence over product development, engineering decisions, and the company's direction.

• Work closely with the founding team: Collaborate directly with company leadership and help shape the product from an early stage.

• Build with a highly technical team: Work alongside researchers and engineers focused on solving challenging problems.

• Competitive compensation and benefits: Receive a competitive salary, equity, fully covered medical and dental benefits, daily meals, and additional stipends.