Jobs at Genesis

Build and maintain the software engineering backbone of Genesis-World, an open-source multi-physics robotics simulation platform. Responsibilities include scalable testing for JIT-compiled systems, deterministic simulation replay, autodiff integration, scene editing, plugin architecture, actuation, local time stepping, event systems, serialization, telemetry, performance improvements, and legacy refactoring. The role also involves code reviews, issue triage, contributor support, and collaboration with compiler and physics teams across GPU and operating-system platforms.

Develop and ship production-ready physics simulation capabilities for Genesis-World, improving speed, fidelity, completeness, versatility, and scalability. Implement and optimize multi-physics algorithms, constraint solvers, adaptive timesteps, contact resolution, and heterogeneous solver coupling using Python and GPU/CPU backends. Validate methods through analytical solutions, cross-engine comparisons, and real-world data, while delivering tested, documented code for robotics learning pipelines.

Own Quadrants, an open-source Python compiler for performance-critical numerical computing and physics simulation. Lead its API, intermediate representation, lowering, compiler backends, optimization passes, numerical primitives, benchmarks, roadmap, and user adoption. Optimize GPU and CPU execution, maintain system coherence, track regressions, improve usability, and collaborate with Genesis users. The role combines compiler research, GPU engineering, API design, open-source product ownership, and future leadership of a small team.

Design, build, and scale security infrastructure across systems, networks, endpoints, and products. Own security architecture, detection/response, vulnerability and risk management, and security policies. Integrate security into the SDLC, partner with engineering, run incident response and monitoring, lead security education, and temporarily own IT infrastructure.

Develop, validate, and ship production-grade multi-physics simulation capabilities for Genesis-World. Improve speed, fidelity, completeness, versatility, and scalability across solvers and backends. Implement and validate algorithms end-to-end in Python/JIT-compiled kernels, optimize CPU/GPU performance, and ensure real-world and cross-engine consistency for robotics applications.

Lead ownership of Quadrants: design API, IR, lowering, backend support and optimization passes; implement numerical primitives; benchmark and track regressions; collaborate with Genesis users; prioritize usability while delivering high-performance GPU and CPU kernels. Grow into and potentially hire a small team.

Build and maintain the Genesis-World core engineering infrastructure to reduce friction for simulation: improve testing and JIT compile performance, enable bit-exact reproducibility, make autodiff efficient, support live scene editing and extensibility, improve actuation and time management, refactor core systems, and support community contributions and reviews.

Lead end-to-end execution of complex customer deployments for physical AI and robotics systems. Coordinate cross-functional engineering, hardware, AI, infrastructure, and customer teams; manage milestones, site readiness, testing, validation, logistics, and launch. Engage enterprise customers, surface risks, resolve technical blockers, and build scalable deployment and onboarding processes.

Source and engage elite research scientists, software engineers, and robotics/infra talent using targeted channels (papers, GitHub, conferences). Build high-converting outreach, map markets, maintain pipelines, and operationalize scalable sourcing (Ashby, automation, enrichment). Measure response rates and pipeline health to iterate.

Build a high-throughput GPU-based simulation pipeline for robotics foundation model training, implement actuators/sensors/controllers, bridge sim-to-real with policy training, and develop real-to-sim asset pipelines in collaboration with robotics and asset teams.

Build and optimize low-latency on-device and distributed GPU inference pipelines. Implement and tune low-level CUDA/Triton kernels, optimize for throughput and latency, and develop monitoring/debugging tools to ensure reliable, deterministic inference in robotics and cluster environments.

Full-cycle technical recruiter focused on sourcing and closing elite Research Scientists, Software Engineers, and Robotics engineers. Partner with founders and technical leaders to design searches, build scalable sourcing and screening workflows (in Ashby), run a high-quality candidate experience, and automate recruiting processes to scale hiring.

Own customer-facing go-to-market for robotics: identify design partners, run pilots to production, close technical commercial deals, and feed customer insights into product and engineering. Lead deployments, build playbooks, define pricing, and align partnerships to scale early-adopter engagements.

Hands-on field engineer who keeps robot data collection running: stand up and maintain stations, triage and resolve hardware/software/data issues on customer and partner sites, bring up new tasks and sites, and feed operational insights back to model, platform, and hardware teams.

Lead profiling and performance ownership of a hybrid raster/ray-traced renderer. Profile, diagnose, and optimize GPU/CPU rendering across platforms, build custom instrumentation, evolve hybrid paths, set technical direction, mentor senior engineers, and collaborate with hardware vendors on low-level GPU issues.

Full-cycle recruiter responsible for sourcing and closing elite Research Scientists, Software Engineers, and Robotics engineers. Partner closely with founders and technical leaders, build scalable sourcing and screening workflows (Ashby/ATS), run a fast, candidate-friendly hiring process, and use data and automation to optimize pipeline health and conversions.

Lead development of a high-performance robotics simulation platform and compiler stack. Design compute infrastructure and dataflows for physics simulation and foundation-model training. Implement JIT/LLVM-based GPU codegen, optimize compile/runtime performance, add differentiable programming support, collaborate with simulation engineers, and contribute to open-source ML compiler projects.

Lead development of a high-performance robotics simulation platform and its compiler stack. Design compute infrastructure and data flow for physics simulation and model training, optimize GPU codegen and JIT compilation, improve differentiable programming support, and contribute to open-source ML compiler projects while collaborating with simulation and robotics engineers.

Design and implement embedded control stacks, motion planning, and trajectory optimization for dynamic robots. Build real-time state-estimation pipelines fusing heterogeneous sensors, formulate and solve optimal control problems (nonlinear MPC, convex/trajectory optimization), create modular sim-to-hardware software, and lead on-robot debugging, tuning, and validation of controllers.

Own and scale end-to-end physical-data collection operations: scheduling, operator utilization, station uptime, throughput and quality. Recruit and develop operators and shift leads, standardize playbooks and SOPs across sites, partner with Quality and Annotation teams, stand up partner-site deployments, and build reporting that tracks collected hours, quality, and cost.