Controls engineer jobs in Cupertino, CA - 2,105 jobs

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a senior automation and controls engineer to design and implement cutting-edge robotic automation systems. You will work alongside our robotics and machine learning engineers to deploy the Skild Brain into a wide variety of production settings. You will also help create automated solutions and testing systems to help us scale our robot fleet. Your work will directly impact the large scale integration and adoption of our general purpose robotic brain for practical economic problems around the world. Responsibilities Design, implement, and maintain automation solutions leveraging our AI models for various real-world problems Develop solutions leveraging PLCs, vision sensors, and/or other systems to assist with large-scale robot brain deployment and testing to help us improve our models Collaborate with robotics and machine learning engineers and scientists to integrate our existing robotic stack into production environments Preferred Qualifications More than 3+ years of industry experience Degree in ME/EE/Robotics/Controls or equivalent experience. Very comfortable with PLCs, vision, sensors, actuators, and end-to-end component integration Built, launched, and sustained production automation and robotic systems on real lines Knowledge of industrial standards and plant protocols Strong systems-level understanding of the various software modules and their interfaces in typical robotic applications Base Salary Range $100,000 - $300,000 USD #J-18808-Ljbffr

Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries. We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite - it's your talent and determination that truly count. We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. All positions are based in San Francisco. Our Culture We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here ******************************* Who should join: You like working in person with a team in San Francisco. You deeply believe that this is the most important mission for humanity and needs to happen yesterday. You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well. You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it. You don't need someone to motivate you; you get things done. Why are We Hiring for this Role To develop and optimize the control systems that enable precise, smooth, and safe motion in our humanoid robot hand. To ensure our robots can execute dexterous manipulation tasks reliably, even with plant changes and sensor drift, while maintaining stability and performance. To bridge the gap between AI-generated action models and the robot's physical execution by designing robust motion planning and lower-level control architectures. To create hand controllers that seamlessly integrate inputs from action models and tactile sensors with real-time feedback, ensuring high performance in complex environments. To develop algorithms and control code for hands from low-level finger movements to grasping strategies for objects. What Kind of Person are We looking for Strong background in robotics control systems, including motion planning, kinematics, and dynamics. Experience with robotic hands is a strong plus. Experience with control models for linkages, tendons, and other space-constrained hardware. Proficiency in developing full-body controllers that integrate multiple degrees of freedom (DoF). Experience with torque-based and position-based control strategies. Skilled in translating high-level action outputs (e.g., from AI models) into low-level commands such as angle, torque, and force. Familiarity with optimization techniques for trajectory planning and real-time feedback integration. Proficiency in programming languages such as C++ and Python. Experience with robotics middleware (e.g., ROS2) and real-time control systems. Strong understanding of numerical methods and computational algorithms for control. Ability to analyze complex motion requirements and design control algorithms to meet them. Comfortable troubleshooting control issues in a physical robot and iterating quickly to improve performance. Comfortable working with hardware-in-the-loop systems and integrating controls with physical robots. Collaborates effectively with AI researchers, mechanical engineers, and electrical engineers to ensure seamless system integration. Minimum of 5 years of experience in robotics controls, motion planning, or a similar field. Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, or a related field. A PhD is a plus. Experience with real-time operating systems and control frameworks is highly desirable. We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. The annual compensation is expected to be between $100,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location. #J-18808-Ljbffr

A leading AV technology company is seeking a Robotics Controls Engineer to enhance control systems for autonomous haul trucks in mining operations. You will design algorithms, analyze performance, and collaborate with cross-functional teams. Ideal candidates will have a relevant degree and experience with control theory and Python. This role includes travel to customer sites and offers competitive compensation. Join a team dedicated to advancing autonomous vehicle technology. #J-18808-Ljbffr

A cutting-edge manufacturing innovation firm in Menlo Park is seeking a Head of Controls Engineering to design and lead complex control systems for software-defined factories. This is a pivotal role that requires 7+ years in controls engineering, knowledge in PLC programming, and experience integrating robotics with software platforms. Join us to redefine manufacturing with AI technology and be part of a growing startup culture focused on high-stakes challenges. #J-18808-Ljbffr

About Skild AI At Skild AI, we're building the world's first general-purpose robotic intelligence-systems that can robustly adapt to unseen environments without failure. We believe large-scale, data-driven machine learning is the key to unlocking widespread real-world robotics deployment. Our team spans from early-career engineers to industry veterans. While experience matters, we prioritize demonstrated ability, curiosity, and execution. We're looking for engineers who are excited to tackle unsolved problems and build systems that operate at real-world scale. The Role We're seeking a Senior Automation & Controls Engineer to design and deploy advanced robotic automation systems. You will work closely with robotics and machine learning engineers to bring the Skild Brain into live production environments. You'll also help build automated systems for testing, validation, and scaling our growing robot fleet. This role sits at the intersection of AI, robotics, and industrial automation, with direct impact on real-world deployments across multiple industries. What You'll Do Design, implement, and maintain automation systems powered by Skild AI models Develop PLC- and vision-based solutions to support large-scale robotic deployment and validation Build automated testing infrastructure to improve data quality and model performance Collaborate with robotics and machine learning teams to integrate Skild's robotic stack into production environments Support real-world deployments, system tuning, and ongoing operational improvements What We're Looking For 3+ years of industry experience in automation, controls, or robotics engineering Degree in Mechanical Engineering, Electrical Engineering, Robotics, Controls, or equivalent hands‑on experience Strong hands‑on expertise with PLCs, vision systems, sensors, actuators, and full system integration Experience building, launching, and sustaining production-grade automation or robotic systems Knowledge of industrial automation standards and plant communication protocols Strong system-level understanding of robotics software stacks and module interfaces Why Skild AI Work on general‑purpose robotic intelligence at real‑world scale Deploy AI-powered automation into live production environments Collaborate with top robotics and machine learning engineers Operate in a fast-moving, execution-focused engineering culture Play a key role in scaling intelligent robotic systems globally #J-18808-Ljbffr

A leading technology research organization in California seeks a machine learning engineer to develop foundational models for robotics. The role involves enhancing hardware infrastructure, building APIs for data handling, and designing evaluation metrics. Ideal candidates have hardware and communication protocol experience, along with strong software skills in Python and a passion for robotics. Competitive pay ranges from $176,000 to $264,000, with a comprehensive benefits package. #J-18808-Ljbffr

FranklinWH is a rapidly expanding company determined to become the leader in the global energy home storage system (ESS) industry. FranklinWH offers whole home energy solutions typically coupled with solar PV systems, bringing households into the modern all-electric future. Though founded by experts in power electronics, BMS and EMS, FranklinWH is equally focused on energy management software while also providing top level service to our partners and customers. FranklinWH is expanding its global footprint, relying on an industry leading supply chain. This is an exciting time to be at a fast-growing company in a fast-accelerating industry. We are seeking a skilled Controls / Automation Engineer to support and optimize our manufacturing automation systems. This role involves PLC and HMI/SCADA programming, system commissioning, troubleshooting, and collaboration with cross-functional teams and vendors. The ideal candidate brings hands-on experience in industrial automation, strong problem‑solving skills, and the ability to support the rapid ramp‑up of our production lines. Responsibilities Resolve daily software issues and implement continuous system optimizations and upgrades to enhance production line performance and reduce dependence on the equipment manufacturer. Collaborate with the equipment vendor to ensure a thorough handover and knowledge transfer for seamless operations. Participate in equipment commissioning and familiarize with systems for the development of the second production line, supporting a smooth and rapid ramp‑up. Qualifications And Experience Bachelor's degree in Electrical, Control Systems, Mechatronics, or related engineering field. 5+ years of direct controls engineering experience in a manufacturing automation environment. Demonstrated expertise with Siemens PLCs (S7 series, TIA Portal, Safety Integrated). Experience configuring and debugging Cognex Vision Pro systems. Hands‑on experience with industrial communication protocols (Profinet, Profibus, EtherNet/IP, OPC UA). Motion control / servo drive / VFD experience and integration. Experience in KUKA/ABB robot operation and debugging. Strong knowledge of safety system logic, interlocks, electrical design, and best practices. Proven track record of commissioning, field debug, and production troubleshooting. Excellent documentation skills and ability to produce functional specifications, wiring diagrams, etc. Fluency in English and Chinese (both written and oral). Strong interpersonal skills to coordinate across engineering, operations, and supplier groups. Experience working with Chinese automation vendors. FranklinWH offers a competitive salary plus fully comprehensive benefits and a performance bonus package based on an annual objective achievement. This is a full-time position. Our generous benefits package includes: Benefits 401(k) Retirement Plan. Medical/dental/life/disability program. PTO, and sick days. Life insurance and long-term disability. FranklinWH is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. #J-18808-Ljbffr

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Proudly led by founders from Stanford and Carnegie Mellon and a board featuring Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo), and Fei‑Fei Li (Chief Scientist of AI at Google). Join us and leave your mark on the future of robotics, AI, and global commerce. Core Values Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. About the Role You will own the development and architecture of our next‑generation robotics diagnostic system, which is crucial for improving the reliability and maintainability of the robotic fleet. This system must proactively detect and surface anomalies across the entire robot stack-from low‑level firmware glitches to complex hardware failures-either automatically during operation or upon manual trigger. You will be the architect of the diagnostic data structure, translating complex sensor readings and error logs into actionable, easy‑to‑read health reports that accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Embedded Software and Infrastructure teams, and the Operations team to build a robust, scalable data pipeline. Key Responsibilities Design, implement, and maintain the on‑robot diagnostic framework, enabling both autonomous background checks and on‑demand manual diagnostic scans. Define the diagnostic data schema, ensuring efficient, standardized, and human‑readable reporting of fault codes, event logs, and status checks. This data structure must be scalable and optimized for use by both on‑robot systems and cloud‑based analytics tools. Work closely with embedded software and hardware teams to develop sophisticated diagnostic routines that surface hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), motor anomalies, and transient firmware glitches. Collaborate with the Infrastructure team to architect and build the data pipeline responsible for reliably collecting, storing (e.g., S3 or data lake), and processing high volumes of diagnostic data from the robot fleet. Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving. Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline. 3+ years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro‑mechanical devices, robotics, or embedded systems. Proficiency in software development (e.g., C++, Python) with specific experience in writing testable, robust code for embedded environments or robotics middleware. Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time‑series databases, or cloud data storage). Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus. Familiarity with interpreting hardware schematics and leveraging low‑level system logs to identify failure points. Salary and Equity $145,000 - $190,000 a year. The range above is the salary range. This position will also receive generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off - Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance - Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave - Enjoy paid bonding time following a birth. Commuter Benefits - Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus - Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k - Contribute towards a 401k for retirement planning. Equity - Be an owner in Nimble through our equity program. #J-18808-Ljbffr

A leading AI-enabled manufacturing firm in San Francisco seeks an Automation Controls Engineer to design and develop automated solutions for robotic systems. This role involves programming PLCs, analyzing customer needs, and creating system requirements. Ideal candidates have a BS or MS in Electrical or Computer Engineering and experience with Beckhoff PLCs and Python. Join a team that values creativity and innovation in transforming manufacturing processes. #J-18808-Ljbffr

Zendar is looking for a robotics engineer with a focus on path planning and trajectory prediction to join our Berkeley office. Zendar develops one of the best vehicular perception systems for automotive based on a 360‑degree radar/camera system. Now we are expanding our capabilities to deliver full driving functions. We are not bogged down by legacy systems and by joining us, you have the opportunity to define and own the driving system. About Zendar: Autonomous vehicles need to be able to understand the world around them not only in bright daylight, but also at night, when it is foggy or rainy, or when the sun is shining right in your face. At Zendar, we make this possible by developing the highest‑resolution, most information‑rich radar in the world. What makes radar powerful - its long wavelength which makes it robust to all sorts of weather and lighting conditions - also makes it really challenging to work with. We have used our deep understanding of radar physics to build radar perception models that bring a rich and complete understanding of the environment around the AV from free space to object detections to road structure. Check out what our technology can do here - all produced with only radar information, no camera and no lidar! Zendar has a diverse and dynamic team of hardware, machine learning, signal processing and software engineers with a deep background in sensing technology. We have a global team of 60, distributed across our sites in Berkeley, Lindau (Germany), and Paris. Zendar is backed by Tier‑1 VCs, has raised more than $50M in funding and has established strong partnerships with industry leaders. Your Role: Zendar's Semantic Spectrum perception technology extracts a rich scene understanding from radar sensing. Our next goal is to build an AV planner which can use this information to deliver more reliable operation in any weather and lighting, and faster responsiveness when operating at high speeds. This will demonstrate how more informative radar sensing, fused with other sensor modalities, can solve hard challenges in AV deployment on freeways and in challenging weather conditions. We are seeking an experienced Robotics Engineer specializing in path and trajectory planning to join our engineering team. In this role, you will develop and optimize motion planning algorithms to perform highway Navigation on Autopilot (NoA) and eventually scale to city. The ideal candidate will have deep expertise in motion planning theory, optimization techniques, and real‑time algorithm implementation. Being the first path planner engineer on the team, you will take significant ownership of the design and implementation of our path planning and trajectory prediction pipeline. This is an ideal position for an engineer who enjoys building path planning systems and validating them in real‑world driving scenarios. In this role you will have a close communication and collaboration with the platform, machine learning and perception teams. You will work with our real‑world dataset of tens of thousands of kilometers collected in multiple continents and geographies. We also have a test vehicle with actuation enabled which serves as a test platform for all planning and driving functions - today it can do adaptive cruise control (ACC), but your goal would be to expand those capabilities! What We Look For: Proficiency with Python and C++ 3+ years of experience in motion planning, path planning, or trajectory optimization Hands‑on experience designing and implementing path planning and trajectory prediction models in relevant fields including robotics and ADAS Familiarity with professional software development tools, such as source control (git), unit testing, and profiling Strong communication and cross‑functional collaboration skills Bonus Points: Experience with Model Predictive Control (MPC) or other predictive planning techniques Knowledge of machine learning approaches for motion planning (learning‑based planners, neural motion planning) Good understanding of challenges in machine learning pipeline design such as data collection and processing, model test and evaluation What We Offer: Opportunity to make an impact at a young, venture‑backed company in an emerging market Competitive salary ranging from $140,000-$190,000 annually depending on experience Performance based Bonus Benefits including medical, dental, and vision insurance, flexible PTO, and equity Hybrid work model: in office 3 days per week from Tuesday to Thursday, the rest… work from wherever! Daily catered lunch and a stocked fridge (when working out of the Berkeley, CA office) Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Zendar participates in E‑Verify #J-18808-Ljbffr

A robotics company in Sunnyvale is seeking a Machine Learning Engineer to lead the development of advanced AI systems for multipurpose humanoid robots. The role emphasizes collaboration and responsibility in creating robust learning algorithms that enable functionality across diverse environments. Ideal candidates possess a strong programming background and experience in robotic applications. Apply by submitting your resume and work examples to the provided email. #J-18808-Ljbffr

Change the world. Love your job. We are seeking a highly skilled and experienced Analog and Mixed Signal Designer to drive the development of leading edge GaN and Si smart power stages, drivers and controllers, targeting the next gen solutions to power High performance computing. The ideal candidate will have a very strong analog design background, detailed familiarity with DC/DC converters and hands on experience in developing multiple power product families. Key Responsibilities: Conceptualize, design, develop and verify various mixed signal Ips associated with developing best in class power products Drive innovation in circuit design and packaging to address industry challenges in power density and thermal management associated with HPC solutions Collaborate with world-wide cross-functional teams, including layout, process technology, test engineering, and product teams Ensure designs meet technical specifications, project timelines, and quality standards Identify and mitigate design risks, ensuring robust circuit performance under process, voltage, and temperature (PVT) variations Stay updated on industry trends, emerging technologies, and best practices in HPC space Drive continuous improvement in design methodologies, tools, and workflows #J-18808-Ljbffr

A leading global shipping company is looking for a competent Electrical Engineer with relevant seagoing experience. This key position involves supervising electrical maintenance and repair activities on advanced container vessels. Candidates must have at least 12 months of seatime in rank and experience with reefer containers. The company promotes diversity and is committed to creating an inclusive workplace. Interested applicants can contact via email for more information. #J-18808-Ljbffr

A leading technology company is seeking a Camera System Controls Engineer to join their San Francisco Bay Area team. The role involves defining and prototyping advanced control architectures for iPhone and iPad cameras, and requires at least 10 years of industry experience in relevant engineering fields. Candidates should have a strong background in dynamic modeling and control theory, as well as experience with MATLAB/Simulink. This position offers a competitive salary range of $181,100 to $318,400 and extensive employee benefits including stock programs and educational reimbursement. #J-18808-Ljbffr

While most Autonomous Vehicle (AV) technology companies are stuck in R&D mode, Pronto is a world-leader in commercializing AV tech via our Autonomous Haulage System, which is automating haulage operations at mines and quarries around the world. Pronto's team of Silicon Valley veterans has been at the forefront of every major AV development over the past 20 years, with a relentless focus on commercializing the technology, leading to our current specialization in off-road applications. This focus and our decades of experience have put Pronto on a track to become the world's first profitable AV technology company. Our first product is an Autonomous Haulage System (AHS) that enables mines, quarries, and construction sites to deploy autonomous vehicles inside their existing operations to improve site safety and add efficiency gains. About the Role We're looking for a Robotics Controls Engineer to develop and maintain the core control systems that enable autonomous haul trucks to operate safely in mining environments. You'll work on localization, path following, longitudinal control, and steering systems that run on 200+ ton vehicles. What You'll Build Localization & State Estimation Longitudinal Control Lateral Control Navigation Responsibilities Design, implement, and tune control algorithms for autonomous vehicle systems Develop state estimation pipelines that fuse multiple sensor modalities Analyze system performance through simulation and field testing Debug control issues using logged data and identify root causes Collaborate with perception, planning, and hardware teams to integrate control systems Write production-quality Python code that runs reliably and efficiently Travel note: This role requires periodic travel to customer sites (up to 15%) Schedule note: Some schedule flexibility may be required during deployments Required Qualifications BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field 2+ years of professional (non-internship) software development experience Strong foundation in classical control theory (PID, lead/lag compensation, stability analysis) Experience with state estimation (Kalman filters, EKF/UKF) Proficiency in Python and NumPy/SciPy for numerical computing Understanding of vehicle dynamics and kinematics Ability to read and debug real-time control code Experience deploying localization and controls algorithms on real-world systems Preferred Qualifications Experience with Model Predictive Control (MPC) Familiarity with path following algorithms (Stanley, Pure Pursuit) Background in signal processing and filter design Knowledge of system identification techniques Experience with heavy equipment or off-highway vehicles Knowledge of CAN bus and vehicle interfaces ROS or similar robotics middleware experience Familiarity with modern ML techniques for controls problems Technical Environment Languages: Python (primary), C++ (optimization-critical paths) Libraries: NumPy, SciPy Hardware: NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces Testing: Field testing on haul trucks, log replay, simulation Example Projects Tune longitudinal controller gains for a new 100-ton truck platform accounting for varying payload (0-80 tons) and grade (-15% to +15%) Implement anti-windup and bumpless transfer for switching between throttle and brake control modes Create simulations to facilitate control design and continuous integration Develop system identification scripts for auto-tuning controllers Develop a Kalman filter that gracefully handles GPS dropouts using IMU dead reckoning Pronto is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries. We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite - it's your talent and determination that truly count. We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. Our Culture We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here ****************************** . Who should join: You like working in person with a team in San Francisco. You deeply believe that this is the most important mission for humanity and needs to happen yesterday. You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well. You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it. You don't need someone to motivate you; you get things done. Why are We Hiring for this Role: Design, develop, and optimize reinforcement learning algorithms for real-time control and locomotion of humanoid robots. Integrate learned policies into real-world robot platforms with hardware-in-the-loop validation. Collaborate with mechanical, perception, and embedded systems teams to ensure tight integration between hardware and software. Apply advanced techniques such as curriculum learning, domain randomization, and sim2real transfer to improve policy generalization. Analyze and optimize control performance with a focus on robustness, energy efficiency, and adaptability. Contribute to the continuous development of our in-house RL training pipelines and tooling. 2+ years of experience in reinforcement learning applied to robotics or control systems. Strong understanding of classical and modern control theory, locomotion dynamics, and optimization techniques. Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Gym, PyBullet). Proficiency in Python and/or C++ for algorithm development and deployment. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with ROS/ROS2 and real-time robotic systems. What Kind of Person We Are Looking For: 2+ years of experience in machine learning (NNs, LVMs) and reinforcement learning applied to robotics or similar realtime environments. Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Lab). Proficiency in Python and C++ for algorithm development and deployment. Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Familiarity with ROS/ROS2 and real-time robotic systems. Experience deploying RL algorithms on physical robots. Experience with high-performance computing for distributed training. Contributions to open-source RL or robotics projects. M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field. We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. The annual compensation is expected to be between $80,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location. #J-18808-Ljbffr

A pioneering robotics company in San Francisco is seeking a Forward Deployed Robotics Engineer. This hands-on role involves owning customer projects from start to finish, collaborating closely with scientists to create innovative robotic solutions. Candidates should have 1-3 years of experience in robotics systems, strong problem-solving skills, and a degree in a related field. The position is 100% onsite, emphasizing the need for a dedicated team player ready to contribute to groundbreaking research and development. #J-18808-Ljbffr

A leading international shipping company based in the United States is seeking a competent Electrical Engineer. The position requires relevant seagoing experience and comes with responsibilities for supervising electrical maintenance and ensuring compliance with safety protocols. Candidates must have at least 12 months of experience in rank and be willing to contribute to the efficient operation of the vessel's machinery. We welcome applicants from diverse backgrounds and offer inclusive work practices. #J-18808-Ljbffr

Gritt Robotics is building physical AI systems that automate the construction of renewable energy infrastructure - dramatically accelerating the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford, and backed by top-tier VCs (early investors in Uber, Notion, and Lyft), Gritt is at the forefront of climate-impact robotics innovation. We are looking for a Lead Robotics AI Engineer to join our early team and play a foundational role in developing intelligent, autonomous robots that operate in complex, unstructured outdoor environments. This role is ideal for someone passionate about robotics, eager to work hands‑on, and ready to lead technical development in a high‑impact, mission‑driven startup. What You'll Do Design, develop, and deploy state‑of‑the‑art AI systems for robotic manipulation and navigation Drive AI architecture decisions in perception, planning, and control Build and optimize simulation‑driven training and validation pipelines Work across sensor modalities including vision, LIDAR, and tactile sensing Improve model performance in challenging outdoor conditions and on real hardware Optimize training and inference for GPU environments Collaborate with cross‑functional engineering teams and grow into leadership roles What We're Looking For M.S. or Ph.D. in Robotics, Computer Vision, Machine Learning, or a related field - or equivalent experience 4+ years of hands‑on experience developing and deploying AI solutions in robotics (manipulation, navigation, or similar) Deep expertise in computer vision, machine learning, deep learning, or reinforcement learning Familiarity with techniques like VLMs, deep RL, and imitation learning Proficient in Python and modern frameworks such as PyTorch Comfortable working autonomously and taking ownership in fast‑paced environments Strong analytical, debugging, and problem‑solving skills Must be legally authorized to work in the U.S. Why Gritt Tackle some of the hardest problems in robotics with climate‑impacting outcomes Join a deeply technical founding team and grow into key leadership roles Competitive salary, equity, and full health/vision/dental coverage Build the future of physical AI for a sustainable planet #J-18808-Ljbffr