AI Autonomous Systems Engineer Jobs

Discover the latest remote and onsite AI Autonomous Systems Engineer roles across top active AI companies. Updated hourly.

Check out 12 new AI Autonomous Systems Engineer opportunities posted on The Homebase

Design Director

New
Top rated
Tenstorrent
Full-time
Full-time
Posted

As an Automotive and Robotics SoC Architect, you will define scalable, top-down system architectures that unify CPU and AI technologies for next-generation automotive applications. This role involves shaping the architectural direction of the automotive and robotics portfolio to ensure products meet the industry's high standards for performance, safety, reliability, and security. The position requires strong technical leadership, systems thinking, and cross-functional collaboration to deliver world-class automotive solutions.

$100,000 – $500,000
Undisclosed
YEAR

(USD)

United States
Maybe global
Remote

[MS/PhD Intern] AI Engineer (정규직 전환형)

New
Top rated
42dot
Full-time
Full-time
Posted

The position involves participating in an internship for Autonomous Driving Group where the candidate will engage in research and development aiming to connect research results to actual mass-production autonomous driving systems. Responsibilities include End-to-End design, implementation, and validation of core autonomous driving system technologies; designing and validating algorithms and models based on real vehicle data; performance analysis and improvement through simulation and real-road experiments; implementing research outcomes into applicable system forms; and close collaboration with production teams within the AD Group to solve problems. Depending on the specialization, tasks may include implementing perception and prediction ML models, preprocessing and analyzing driving data, evaluating model performance and analyzing results, object-level fusion and tracking using sensor data, real-time fusion logic improvement, SLAM and localization algorithm development, integration and debugging of vehicle software under Linux environment, designing data pipelines for autonomous driving data collection and analysis, vision-language-action model research, and building learning and evaluation pipelines with cross-department collaboration.

Undisclosed

()

Pangyo, South Korea
Maybe global
Remote

Multi-Agents Mission Planning Engineer

New
Top rated
Harmattan AI
Full-time
Full-time
Posted

Design algorithms that decompose high-level missions into structured, solvable guidance tasks for autonomous robots. Develop and optimize mission and path-planning frameworks for autonomous systems. Build scalable backend integrations for mission guidance and execution. Run simulations and validation campaigns to assess autonomy consistency across diverse mission types. Partner with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time environment.

Undisclosed

()

Paris, France
Maybe global
Onsite

Senior Engineer, XBAT Simulation Modeling

New
Top rated
Shield AI
Full-time
Full-time
Posted

Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++. Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. Implement scenario simulation tooling and formal test infrastructure. Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing. Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity. Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI. Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

$125,000 – $175,000
Undisclosed
YEAR

(USD)

Dallas, United States
Maybe global
Onsite

Electrical Engineer - Systems

New
Top rated
OpenAI
Full-time
Full-time
Posted

As an Electrical Engineer - Systems, you will work on Machine Learning/AI hardware systems projects to develop solutions for current and future data center deployments. Your responsibilities include working with the hardware team on test vehicle and bring up board design, evaluating end-to-end system design trade-offs. You will lead EE circuit level design and collaborate with power, thermal, and mechanical teams to drive AI hardware system design. The role requires working with product teams to ensure system goals are met and collaborating with ASIC/FPGA, Software, and Verification teams for proper verification of features. You will also engage with manufacturing teams to ensure designs are manufacturable and ready for volume production, support field teams for deployed systems, gather system requirements, define architecture, execute hardware design, product validation, lead system bring up, validation, NPI, deployment, and sustaining of hardware solutions. Cross-functional collaboration with Hardware, Software, Mechanical, Thermal, Validation, Manufacturing, and external vendors is essential, as is driving system development from concept through production, and leading debug and root cause analysis of deployed systems.

$295,000 – $530,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Hybrid

Robotics Engineer

New
Top rated
Radical AI
Full-time
Full-time
Posted

As a Software Engineer in the Robotics and Automation group, you will design and deploy systems to automate material science research and discovery laboratories, specializing in robotics, automation, and perception software development. You will architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments. Your role involves collaborating with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes; building and maintaining APIs and services for scheduling, execution, monitoring, and data capture; developing simulation, testing, and validation tools to accelerate development and ensure system reliability; integrating 2D and 3D vision systems with robotic manipulation, motion planning, and execution; optimizing system performance, robustness, and throughput under rapid iteration cycles; contributing to technical direction, architecture decisions, and best practices; mentoring junior engineers and helping establish engineering standards; and fostering collaboration and open-mindedness to empower the team to deliver world-class technology at an unprecedented speed.

Undisclosed

()

New York, United States
Maybe global
Onsite

Senior Manager, Precision Navigation and Sensing (R4256)

New
Top rated
Shield AI
Full-time
Full-time
Posted

Lead a team of software developers and sensor experts to develop and field optimize algorithms and sensors for accurate, reliable state estimates enabling autonomous operation of VBAT and XBAT aircraft. Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors. Enhance state estimation algorithms by integrating multi-sensor data to improve accuracy and robustness. Select, characterize, and field precision navigation sensors such as cameras, radar, IMUs, and GPS. Design and implement real-time sensor data processing pipelines. Collaborate with cross-functional teams including software engineers, autonomy researchers, and hardware engineers to ensure seamless integration of state estimation algorithms. Conduct experiments and field tests to validate algorithm performance in real-world conditions. Stay updated with sensor technology and state estimation advancements, applying new techniques to systems.

$228,000 – $342,000
Undisclosed
YEAR

(USD)

Dallas, United States
Maybe global
Onsite

Software Engineer, Simulation

New
Top rated
Intrinsic
Full-time
Full-time
Posted

As a Senior AI Research Scientist for Vision-guided robotics, you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Your work involves exploring the intersection of computer vision and robotic control to design systems that allow robots to perceive and interact with objects in dynamic environments. You will create models that integrate visual data to guide physical manipulation, advancing beyond simple grasping to sophisticated handling of diverse items. Collaboration with a multidisciplinary team of engineers and researchers is required to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Responsibilities include researching and developing deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios, designing algorithms for manipulation of complex or deformable objects with high precision, collaborating with software engineers to optimize and deploy research prototypes onto robotic hardware, evaluating model performance in simulation and real-world settings to ensure robustness, identifying opportunities to apply state-of-the-art computer vision and robot learning advancements to practical industrial problems, mentoring junior researchers, and contributing to the technical direction of the manipulation research roadmap.

Undisclosed

()

Singapore
Maybe global
Onsite

Staff Engineer, Autonomy Integration (R4052)

New
Top rated
Shield AI
OTHER
Full-time
Posted

$102,669 – $154,003 / year
Undisclosed
YEAR

(USD)

London, United Kingdom
Maybe global
Onsite

Senior Staff Engineer, Autonomy (R3955)

New
Top rated
Shield AI
Full-time
Full-time
Posted

As an Autonomy Engineer on the team, the individual will lead teams at the intersection of artificial intelligence, task and motion planning, and controls. Responsibilities include working closely with engineers to architect solutions, set standards for software engineering, drive strategic technical improvements, and mentor other engineers. The role involves integrating Shield AI autonomy products with third party systems, writing autonomous behaviors for varying aircraft platforms such as VTOL and Fixed Wing, and collaborating with Subject Matter Experts to understand customer needs and implement appropriate autonomy solutions.

$133,600 – $200,400
Undisclosed
YEAR

(USD)

London, United Kingdom
Maybe global
Onsite

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[{"question":"What does a AI Autonomous Systems Engineer do?","answer":"AI Autonomous Systems Engineers design and develop systems that operate independently in dynamic environments, such as self-driving vehicles, drones, and robotics. They create algorithms for perception, planning, and decision-making using machine learning and deep learning. These engineers integrate hardware and software components, including sensors and control systems, while ensuring safety and efficiency. They also conduct extensive testing in simulation environments and real-world conditions to validate autonomous behaviors."},{"question":"What skills are required for AI Autonomous Systems Engineer?","answer":"Successful candidates need strong proficiency in AI/ML technologies including computer vision, neural networks, and reinforcement learning. Expert knowledge of planning and control systems is essential, along with experience in hardware-software integration. Skills in systems thinking and technical abilities across embedded systems and robotics are crucial. Collaboration abilities for cross-functional teams and domain expertise in relevant industries like automotive or aerospace provide additional value in autonomous systems development."},{"question":"What qualifications are needed for AI Autonomous Systems Engineer role?","answer":"Most positions require a master's or PhD in computer science, robotics, electrical engineering, or a related field. Employers look for demonstrated experience with AI algorithms, machine learning frameworks, and autonomous system development. Familiarity with tools like MATLAB/Simulink for control design, Docker/Kubernetes for deployment, and simulation environments is expected. Knowledge of industry-specific regulations and safety standards is increasingly important as autonomous systems become more prevalent across sectors."},{"question":"What is the salary range for AI Autonomous Systems Engineer job?","answer":"The research provided does not specify exact salary ranges for AI Autonomous Systems Engineers. Compensation typically varies based on location, experience level, industry sector, and specific expertise in autonomous technologies. Organizations developing cutting-edge autonomous systems often offer competitive packages that reflect the specialized skill set combining AI, robotics, control systems, and safety engineering required for these positions."},{"question":"How long does it take to get hired as a AI Autonomous Systems Engineer?","answer":"The hiring timeline for autonomous systems roles varies widely depending on company processes and the specialized nature of the position. Candidates typically undergo multiple rounds of technical interviews focusing on AI algorithms, control systems, and problem-solving capabilities. The process may include coding challenges, system design exercises, and discussions about previous autonomous systems projects. Given the specialized expertise required, companies may take several weeks to months to thoroughly evaluate candidates."},{"question":"Are AI Autonomous Systems Engineer job in demand?","answer":"While the research doesn't provide specific numbers, AI Autonomous Systems Engineer roles are experiencing strong demand across multiple industries. The expanding applications in self-driving vehicles, drone technology, industrial automation, and robotics are driving this growth. Companies developing autonomous capabilities seek engineers who can bridge AI, control systems, and hardware integration. This specialized intersection of skills makes qualified candidates particularly valuable as autonomous technologies continue advancing across sectors."}]