Design, implement, and optimize the embedded control stack for general-purpose robots
Design motion planning and trajectory optimization algorithms for dynamic locomotion and manipulation
Build real-time state estimation pipelines for pose, contact, and force sensing, fusing heterogeneous sensor data under noise and uncertainty
Formulate and solve optimal control problems (nonlinear MPC, convex optimization, trajectory optimization) for high-performance and stable behavior
Build modular and robust software frameworks enabling rapid iteration between simulation and hardware
Lead debugging, tuning, and validation of controllers directly on physical robots
Passion for your craft and demonstrated excellence in control systems engineering
Extensive experience in designing, implementing, and deploying advanced control algorithms on real robotic system products (8+ years)
Deep expertise in dynamics, kinematics, optimal control, and state estimation
Strong command of hardware interfaces, sensors (IMUs, F/T sensors), and actuation technologies (motors, gearboxes, drivers)
Production-level mastery of C++ with a track record of building reliable, safety-critical software
Proven ability to bridge across hardware, software, and algorithms to deliver robust end-to-end systems
An open mind about the power of deep learning, reinforcement learning, and vision-language-action models as critical for general-purpose robotics
Bonus: Experience shipping humanoid robots or whole-body control systems
Bonus: Impactful published work in control theory, state estimation, or mathematical optimization
Bonus: Familiarity with parallel computation on GPUs to accelerate optimization
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead the optimization and scaling of distributed training infrastructure for foundation models, improving wall-clock convergence by tuning data pipelines, kernels, and multi-node systems.
Experienced engineering manager wanted to lead Pinterest’s User Understanding backend team building large-scale data pipelines and ML-serving infrastructure to power personalization for hundreds of millions of users.
Experienced technical leader needed to architect and lead full‑stack development of Health Catalyst’s Care Management Suite in a remote role.
Work on Ray Datasets to improve large-scale data processing, performance, and stability at Anyscale, contributing to an open-source platform used by teams running production ML workloads.
Help build an AI-native, enterprise-grade ITSM platform as a Full Stack Engineer owning features end-to-end and shaping the product and stack from our Midtown Manhattan office.
Neon is hiring a full‑stack Senior Software Engineer to own and deliver core product workstreams, building scalable, secure, and user‑focused features using React and TypeScript from our San Francisco or New York offices.
Experienced front-end developer needed to extend and customize IBM TRIRIGA Perceptive Applications using Google Polymer in a fully remote US role.
Bunkerhill seeks a full-time, onsite Machine Learning Engineer in SoMa, San Francisco to build and deploy foundation models for medical imaging that accelerate clinical algorithm development.
Trexquant is hiring an Early Career Software Engineer to help design and implement low-latency, high-throughput systems that power systematic trading and research.
Trestle is hiring a founding Full Stack Software Engineer to help build Ledger, a data management platform that streamlines government reporting for human service organizations.
Scribd is hiring a Senior Backend Engineer to lead development and scaling of Ruby on Rails backend systems for the Growth team, focusing on performance, reliability, and business impact.
Lead the design and operation of scalable ML infrastructure and MLOps pipelines to support production fraud-detection systems at a global payments company.
HockeyStack is hiring a Software Engineer on the GTM Growth team to build data-centric automations and reliable data pipelines that streamline revenue operations for B2B SaaS customers.
Deepgram is hiring a Backend Engineer to build and optimize high-performance inference services for speech processing, orchestration, and low-latency audio pipelines.