Staff ML Engineer, Autonomy & Planning

Knightscope; Sunnyvale (CA); On-site; USD 240,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Stock options

401(k) with company match

Paid time off

Job summary

Knightscope is seeking a Staff Autonomy Engineer for its Sunnyvale headquarters to own the intelligence-to-action loop across deployed autonomous systems. You will drive perception, planning, and control, delivering end-to-end autonomy capabilities in safety-critical environments.

The role requires deep expertise in planning, learning-based methods, and real-time decision making, with a track record of shipping production-grade robotics software and mentoring engineers.

Qualifications

• 7+ years shipping autonomy, planning, or decision-making systems to production in robotics or safety-critical platforms.
• Deep expertise in behavior planning, imitation learning for real-world robot control, or large-scale ML for real-time decisions.
• Hands-on experience integrating learned planning with classical control and safety constraints.

Responsibilities

• Advance AI and machine learning for embodied autonomy across robotic platforms.
• Incorporate large vision-language-action models to improve reasoning and safety.
• Own the full intelligence-to-action loop from sensor observations to policy decisions.
• Build the learning pipeline linking production outcomes to model evaluation and policy improvements.
• Drive architecture decisions across the autonomy stack and mentor the team.

Skills

Autonomy systems

Planning & decision-making

C++

Python

Production deployment

Education

MS or PhD in Robotics, Computer Science, Machine Learning, or related field

Tools

Real-time stacks

Simulation & testing

Job description

AboutKnightscope

Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force — autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force.

AboutKnightscope

Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force — autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force.

About The Role

The gap between a robot that observes and a robot that acts is the intelligence layer. We are looking for a Staff Autonomy Engineer to own this layer end to end. You will define how our robot’s reason about their environment and respond, drawing on the latest advances in embodied AI, learned planning, and real-time decision making. This is not a role where you own one slice of a large stack. You will architect and ship the full intelligence-to-action loop on a deployed production fleet and build the learning pipeline that makes it better with every mission.

Key Responsibilities

• Advance core AI and machine learning capabilities for embodied autonomy, spanning computer vision, learned planning, open-world generalization, and real-time decision making, across deployed robotic platforms.
• Push the boundaries of learning-based robotics by incorporating large vision-language-action models to improve reasoning, situational understanding, and explainability in safety-critical environments.
• Own the full intelligence-to-action loop: from sensor observations through entity reasoning, world-state modeling, to policy decisions that drive safe, bounded robot behavior.
• Build the closed-loop learning pipeline: production outcomes and operator feedback feed model evaluation and policy improvement without modifying safety-critical boundaries.
• Drive technical architecture decisions across the autonomy stack and mentor engineers across the team.

Required Qualifications

• 7+ years shipping autonomy, planning, or decision-making systems to production in robotics, autonomous vehicles, or safety-critical platforms.
• Deep expertise in one or more areas: behavior planning and policy execution, imitation learning or reinforcement learning for real-world robot control, end-to-end learned autonomy systems, or large-scale ML for real-time decision making.
• Hands-on experience integrating learned planning or policy models with classical control systems and deterministic safety constraints.
• Strong software engineering in C++ and Python; experience with real-time autonomy stacks.
• Demonstrated ability to take systems from research prototype to deployed production platform.
• Track record of driving architecture decisions across perception, planning, and controls teams.

Preferred Qualifications

• MS or PhD in Robotics, Computer Science, Machine Learning, or related field.
• Experience with autonomous vehicles, deployed robotics, or embodied AI systems in production.
• Background in trajectory planning, behavior modeling, or autonomy policy design.
• Familiarity with VLA architectures, foundation models for robot control, or large-scale pre-trained policies adapted for real-world deployment.
• Experience building data flywheel or simulation-based training pipelines for production ML systems.
• Familiarity with functional safety standards, ISO 26262 or SOTIF.

Compensation & Benefits

• Base Salary:$240,000 to $275,000
• Equity:Stock options
• Benefits:Medical, dental, vision, 401(k), paid time off
• Location Requirement:Full-time, on-site at Sunnyvale HQ