Role Overview
Trajekt is seeking a Software Engineer to join our growing data science team.
This role involves significant ownership of the core technology that controls our robots, support for a wide variety of internal R&D projects across the company, and the design of tools to facilitate data-informed decision-making for both engineering teams and executive business functions.
Your primary role will be to build maintainable, production-grade systems that deliver our data science tools, robot control models, and physics prediction models.
You will work in a team with deep expertise in mathematics and physics.
Your role is to complement that strength with strong software design, code quality, tooling, and operational rigor, while still being comfortable engaging directly with these topics.
The data science team at Trajekt is core to supporting other teams with complex mathematical problems.
If you have strong mathematical and data science skills, but consider yourself a software engineer first and foremost, then you are likely a great fit for this role.
Trajekt is a uniquely strong place to build a career because it combines:
A high degree of ownership early in your tenure
A profitable, well-capitalized company with stable customers and revenue
Competitive compensation
Opportunities for career growth, both vertically and horizontally
A tight-knit team of domain experts who truly enjoy working together
You'll have the space to do deep work, as well as the support to grow quickly in the way that best suits you and the stability to think long-term.
Key Responsibilities
Software Engineering for Data and Models
Own and improve the Python codebases used for training, validating, and deploying models
Design clean APIs and abstractions around mathematical models and physical simulations
Refactor research outputs into maintainable, testable, production-ready systems
Establish patterns for configuration, logging, testing, deployment, and reproducibility
Model Deployment & Maintaining Production Systems
Support the full lifecycle of models, from research to deployment
Build and maintain tooling for running models in real time and analyzing outcomes
Ensure numerical stability, performance, and correctness in production environments
Cross-Company Support
Partner with teams across robotics, computer vision, web, and business operations
Provide software and analytical support for complex mathematical or data-driven problems
Build internal tools that make advanced analysis accessible to non-specialists
Support exploratory R&D projects with interdisciplinary teams
R&D and Physical System Modelling
Assist in the design of novel methods to model robot dynamics, ball flight aerodynamics, and other physical systems
Collaborate on experimental design, data collection, and analysis
Required Experience & Skills
3+ years of professional software development experience
Strong Python proficiency, including:
Modular code design and package structure
Testing, debugging, and refactoring large codebases
Performance-aware numerical programming
Experience in maintaining production systems used by other engineers
Comfort working with mathematically complex code
Experience collaborating with researchers, data scientists, and other domain experts
Strong engineering and software development judgment and intuition
Nice to Have
Experience with scientific computing libraries (NumPy, SciPy, PyTorch, JAX, etc.)
Exposure to physics-based modeling or simulation
Familiarity with data pipelines, experiment tracking, or model evaluation workflows
Experience working with robotics, hardware-adjacent software, or real-time systems
Experience with computer vision
Experience leading teams of engineers
Comfort reading academic-style code or research papers and translating them into software
We are looking for someone who is eager to take ownership, work closely with others, and get things done while having fun through the process.
The ideal candidate has a track record of taking pride in building systems that others can rely on.
