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About Fellow We believe that the act of making should be meaningful and fulfilling, done with intention and precision. Fellow makes beautifully functional tools for any kitchen, designed in San Francisco and used…
Salary: £40,000 - 80,000 per year Requirements: Degree-level qualification in Computer Science, Mechatronics, Robotics, or similar, or equivalent industry experience. Professional experience in the design and…
A robotics software intern/co-op at Rugged Robotics, an automation startup for construction layout robots, onsite in Houston, TX. The intern prototypes and tests software directly on hardware, improving kinematics, algorithms, and reliability of the robotic platform using ROS, Python, and C++.
In this role, as a Robotics Automation Hardware Engineer on Google's Physical infrastructure Robotics team, you will join a team dedicated to implementing robotics technologies and solutions to transform operations…
Tech-lead role on Google Home's Intelligent Signals team: define the multi-year, end-to-end architecture for smart-home ambient intelligence, building signal processing and ML systems that leverage in-home/on-device sensors while guiding cross-functional AI, hardware, and software teams. Core tech: ML, signal processing, sensor fusion.
Product Manager for airborne perception and sensor fusion, defining the roadmap for uncrewed combat aerial vehicles. The role involves translating mission needs into requirements for EO/IR and RF sensor processing, multi-target tracking, and perception-aided navigation using AI and ML technologies.
Develop autonomy software for autonomous systems, including sensor fusion, GNC algorithms, and testing in simulation/HWIL environments.
Job Details: Job Description: We are seeking a Physical AI Solutions Architect to lead the design and delivery of next-generation robotics, drones, medical, industrial and quantum compute systems that combine AI,…
Job Description: Your Impact Leonardo is a global high-technology company and one of the key players in Aerospace, Defence and Security. We are seeking a talented and motivated Guidance, Navigation, Control, &…
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build…
A hands-on, high-autonomy engineer owning distributed mission-software services end-to-end for autonomous spacecraft operations — covering satellite command & control, mission planning, simulation, and data processing. Core stack spans C++, Elixir, TypeScript, gRPC/REST/WebSockets, and Linux across embedded and cloud-connected systems.
The AI and Infrastructure (AI2) team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency,…
Senior autonomous systems engineer supporting a government defense program in Albuquerque, NM: drives systems-engineering lifecycle work for autonomous aerial/ground platforms — trade studies and AoAs, autonomy software stacks (perception, planning, control), modeling & simulation, and test & evaluation. Requires 9+ years of experience, US citizenship, and an active Secret clearance.
Job Description The Robotics and Automation Systems Engineer supports and helps drive the robotics and autonomy work behind automation deployments across the organization. This role spans a broad range of robotics and…
Build AI-driven test and validation systems for defense hardware and sensors, using Python, LLMs, and anomaly detection to automate root cause analysis and monitor physical systems.
Build and deploy AI/ML systems for defense applications, integrating models into production software under adversarial and constrained conditions.
As a Principal Machine Learning Engineer I, you will design, build, and operate production ML systems at scale. You will turn advanced models for sequential and multi-modal data into reliable products that power risk…
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Designs and deploys perception foundation models for Toyota's autonomous vehicles — 3D scene understanding from large-scale multimodal sensor data, scalable ML training/eval pipelines, and efficient inference on onboard hardware. Requires strong Python, C++, and deep learning experience; hybrid role (3 days/week on-site).
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