Top Tech Jobs & Startup Jobs

Design and implement low-latency, high-throughput inference pipelines for on-device and GPU-cluster deployment. Optimize kernels, batching, quantization, memory and scheduling. Build distributed serving systems, integrate low-level CUDA/Triton code with high-level frameworks, and develop monitoring/debugging tools to ensure reliability and determinism.

Operate robots onsite during data collection using teleoperation/VR equipment following SOPs. Execute repetitive tasks reliably, monitor and flag unsafe behavior, follow safety guidelines, provide session notes, and collaborate with operations and session leads in an R&D setting. Part-time, contractor role suitable for students.

Lead and build the marketing function for a deep‑tech hardware startup. Translate research and engineering progress into accurate external communications, craft launch materials and narratives, run demos, lab visits, partner briefings, and technical press sessions, design conference presence, produce technical explainers, and support recruiting while hiring and operating hands‑on in a high‑uncertainty 0→1 environment.

Design, build, and maintain foundational frameworks and internal tooling to accelerate AI research workflows. Collaborate with teams to create modular, reusable production-ready systems, remove cross-team friction, improve development workflows, and promote high code quality through reviews, documentation, and training.

Design, build, and maintain petabyte-scale batch and streaming data pipelines for robotics foundation model training and evaluation. Own data models, storage, ingestion, transformation, and orchestration. Standardize data models and unify processing across teleoperation and simulation datasets. Collaborate with a team building general-purpose Physical AI.

Design and implement embedded control stacks, motion planning, and optimal-control algorithms for dynamic locomotion and manipulation. Build real-time state estimation fusing heterogeneous sensors, develop modular simulation-to-hardware software, and debug, tune, and validate controllers on physical robots.

Own QA for Nyx renderer and Genesis World physics: maintain automated tests, build image-comparison and validation tooling, verify numerical correctness and determinism across GPUs/drivers/CUDA, perform exploratory testing on 3D scenes and multi-physics scenarios, set CI quality gates, and triage and document defects with engineers.

Build a high-throughput, GPU-based simulation pipeline for robotics (primarily rigid-body). Implement actuators, sensors, and controllers; collaborate with robotics, policy training, and asset-generation teams to bridge sim-to-real and develop real-to-sim workflows for training robotics foundation models.