Senior Controls Engineer – Federal

🕒 Abril 27

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Field AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

Artificial Intelligence • Robotics • Construction

A Field AI é uma empresa de tecnologia focada em inovar a IA robótica e autonomia. A empresa desenvolve os Modelos de Fundação de Campo (FFMs) que permitem que robôs operem de forma autônoma em ambientes imprevisíveis e complexos, sem depender de GPS ou caminhos pré-definidos. Com suas soluções avançadas de IA, a Field AI está transformando várias indústrias ao melhorar a eficiência operacional, segurança e precisão em aplicações do mundo real, particularmente em setores como construção, petróleo e gás, e segurança federal.

Descrição

• Identify and model the dynamic behavior of autonomous vehicles to establish accurate baselines for motion planning. • Adapt and train control models to transition between diverse vehicle platforms. • Develop, optimize, and implement robust control stacks across the fleet to ensure safe and reliable operations. • Evaluate advanced control schemes for varying vehicle architectures. • Design and implement computationally efficient control and planning algorithms tailored to the hardware and compute limitations. • Verify and validate new control schemes directly on physical robots, overcoming bottlenecks when porting controllers to new platforms. • Lead architectural design discussions for controller level safety layer. • Develop and implement robust low-latency safety behaviors for our vehicle fleets operating in unstructured environments. • Deploy theoretical control schemes and multi-agent behaviors onto real-world robots operating in demanding, dynamic environments. • Serve as a resident planning and controls expert, filling critical knowledge gaps and guiding technical strategy for the engineering team.

🎯 Requisitos

• Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on planning, controls, or multi-agent systems; OR an MS degree in a related field with 3+ years of relevant industry experience. • Deep expertise in modern control theory, specifically with predictive and sampling-based control methodologies (such as MPC and MPPI), and vehicle dynamics modeling. • Proven experience deploying complex control and planning algorithms onto physical robots, rather than just in simulation. • Experience working with large-scale or off-road autonomous vehicles operating in unstructured, real-world environments. • Strong ability to design and implement computationally constrained control schemes tailored to the compute limitations of embedded robotic platforms. • Ability to verify, validate, and debug complex control architectures, overcoming system-level bottlenecks when adapting software to new vehicle platforms. • Strong ownership mindset with the ability to serve as a resident technical expert, bridging the gap between advanced autonomy research and reliable product deployment. • Hands-on experience with C++, Python, CUDA. ROS1/2, Docker, Linux

🏖️ Benefícios

• full benefits • equity • generous time off