Engineer Jobs

About The Position

Requirements

• Bachelor’s in Computer Science, Engineering, or a related field (or equivalent experience).
• Ideally building or integrating distributed or cloud‑based systems.
• 8+ years of experience with programming in Python and/or C++.
• Understanding of core software design principles and APIs.
• Exposure to cloud‑native development (containers, Kubernetes, Helm, or similar technologies).
• Demonstrated interest in AI coding agents, LLM‑powered tools, or modern AI‑assisted development workflows (personal projects, coursework, or professional experience).
• Interest in robotics, simulation, or autonomous systems; any hands‑on experience with robotics platforms, middleware (e.g., ROS), or NVIDIA robotics stacks is a plus.
• Familiarity with unit and integration testing, code reviews, CI/CD, and basic monitoring/observability concepts.
• Collaboration and communication skills; comfortable working with multi-functional partners.

Nice To Haves

• Practical experience building or integrating robotics systems (on‑device software, simulation, perception, control, or fleet tools).
• Experience designing or deploying AI coding agents or LLM‑based developer tools (e.g., plugins, internal tools, research prototypes).
• Contributions to open‑source projects, technical blogs, talks, or coursework in relevant domains (AI, cloud, robotics, developer tooling).
• Experience in high‑performance computing, such as CUDA programming, GPU acceleration, or optimizing large‑scale workloads on NVIDIA platforms.

Responsibilities

• Implement features and services across the stack (back-end, cloud, tooling), writing clean, maintainable code and contributing to design discussions.
• Help build and iterate on AI-assisted development workflows (e.g., code generation, refactoring, automation in CI/CD), and experiment with powerful coding agents in real engineering use cases.
• Develop and operate services on Kubernetes using Helm and major cloud provider APIs (e.g., AWS, Azure, GCP), including deployment, monitoring, and troubleshooting.
• Collaborate with robotics and simulation teams to integrate services and tools into robotics workflows; learn and, where applicable, extend platforms such as Isaac or ROS.
• Follow good engineering practices around testing, code review, documentation, observability, and reliability, and contribute to improving them over time.
• Work closely with teammates across cloud, AI, and robotics, ask questions, share knowledge, and continuously expand your skills.

Benefits

• Highly competitive salaries
• Comprehensive benefits package
• Equity
• Benefits