- Collaborate with product managers, machine learning engineers, and library users to translate functional requirements into robust technical specifications and production-ready code code.
- Architect, build, and maintain the foundational software of our internal Machine Learning libraries, with a relentless focus on performance, and scalability.
- Contribute high-quality, tested, documented, and maintainable code across the library stack, ensuring our core systems are reliable and easy for other engineers to build upon.
- Champion software engineering excellence across the team and company, driving best practices in testing (unit, integration, performance), CI/CD, and system architecture.
- Own your work end-to-end, from ideation and experimentation through to deployment and maintenance in a small, agile team environment.
- Continuously explore and evaluate new techniques and frameworks, helping to guide the technical evolution of our platform.
- Share your knowledge with the team, contribute to our engineering guild, and stay connected with the broader community.
- A passion for the craft of software engineering and building robust, maintainable systems in a collaborative, cross-functional team.
- Solid software engineering skills, with a focus on writing clean, testable, and maintainable code.
- A commitment to owning the software development lifecycle, including testing, containerization, and CI/CD.
- Expert-level proficiency in modern Python, with a deep understanding of its performance characteristics, design patterns, and packaging.
- Familiarity with building performant and reliable Python systems, including low-level C/C++ extensions (e.g., using pybind11, Cython) and instrumentation for production telemetry (e.g., Prometheus, OpenTelemetry).
- A proactive ownership mindset and the ability to navigate ambiguity.
- Excellent collaboration and communication skills for working effectively with teams and stakeholders.
- Professional experience GPGPU programming (e.g., CUDA, Triton) for performance optimization.
- Experience building and maintaining widely-used internal or open-source libraries.
- Familiarity with the machine learning development lifecycle and core concepts (e.g., bias-variance tradeoff, common optimizers).
- Familiarity with 3D geometric data structures and algorithms.
What we offer
- Equity options – share in our success and growth.
- 5% 401(k) match – invest in your future.
- Flexible working – balance your work and life in a way that works for you.
- Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
- Enhanced parental leave – support for life’s biggest milestones.
- Private healthcare – comprehensive coverage for you and your family.
- Personal development – access learning and training to help you grow.
- Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
Salary range:
$120,000 - 240,000 depending on experience
Seniority will be assessed throughout our interview process
Top Skills
What We Do
PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines. We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. We do not currently offer work experience
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