Build the Path Forward

 At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

As a Senior Hardware Technician, you own the geometric truth of every cell that leaves our floor. After Controls Bring-Up is complete, you set up a FARO Vantage laser tracker, level the rail, align positioners, and run the RoboDK robot calibration that tells the welder where it actually is within fractions of a millimeter. You'll capture the data, validate it against our tolerances, package it per the cell type, and hand it off to our Logical Bring-Up team. Without your work, the welder is guessing.
This is a precision role for someone who is at home with a laser tracker, comfortable around large industrial robots in teach mode, and gets satisfaction from clean data.

What You’ll Do

• Set up and operate a FARO Vantage laser tracker: tripod, extension, level, warm-up, and stable lock on SMRs.
• Survey and shim the robot transfer unit (RTU) rail to level within tolerance; re-survey for confirmation.
• Align positioner headstocks and tailstocks (single-side, dual-side, dynamic, static, indexable variants) and capture before/after data.
• Establish robot base coordinate systems in Polyworks Inspector via macro — verify Z-up, X-down-track.
• Run RoboDK robot calibration on welder and (where applicable) global scanner robots — base setup, geometric calibration measurement set, and validation poses.
• Capture RTU and positioner / rail-axis data using our Polyworks macros.
• Generate, clean, and export Polyworks coordinate-system and reference-point reports at six-digit decimal precision; export tables to CSV.
• Run our Python script in RoboDK to compute robot calibration error; verify against RoboDK-reported norms and flag any deviation.
• Assemble the per-cell data package (CSV, TXT, PDF) per our File Naming Convention table for the cell variant; upload to the cell's calibration-results folder.
• Walk the bring-up engineer through the data package; obtain written acceptance; tear down and pack out.
• Identify recurring fixturing, build, or alignment issues that show up on the tracker, and feed them back to design and build through our ECR process.
• Help us automate. Half of this job is repetitive (rename a file, change decimal precision, upload). If you can write Python or shell to kill those steps, we want it.
• Maintain our tracker's calibration certificate, SMRs, cabling, and bring-up laptop image; flag re-cal needs proactively.
• Mentor junior techs — we're growing the team, and being a force-multiplier matters here.

Who You Are

• 3+ years hands-on experience with a FARO laser tracker (Vantage / Ion / equivalent) in a manufacturing or contract-metrology environment.
• Working proficiency with Polyworks Inspector — running and modifying macros, generating and editing inspection reports.
• Practical understanding of dimensional metrology fundamentals: GD&T, coordinate systems, alignment, datum structures, measurement uncertainty.
• Comfort working alongside an industrial six-axis robot in teach mode — including basic teach-pendant navigation.
• Disciplined documentation and file-management practices; you understand why naming conventions matter.
• Comfortable working in PPE in an active manufacturing environment.

Preferred but not required:

• RoboDK robot calibration — geometric DH calibration and validation workflows.
• Yaskawa (or other industrial robot) teach-pendant familiarity.
• Python scripting — even basic file-rename / upload automation is a big plus.
• 3D CAD (SolidWorks) and converting CAD models into RoboDK stations.
• Experience with multiple tracker platforms (Leica, Hexagon) or photogrammetry systems.
• Manufacturer training certificates from FARO, InnovMetric, or RoboDK.
• Experience writing or editing Confluence procedure pages, work instructions, or training materials.

Why You’ll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. 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.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We are looking for a Welding Engineer who will work side-by-side with a team of welding engineers to develop an autonomous robotic welding system capable of automatically generating custom motion plans and weld parameters for any part that it sees. You will also support teams with welding experiments, generating the data that propels our technology forward. You will join a team of dedicated, supportive, and enthusiastic people to help create the future of manufacturing.

What You’ll Do 

• Run weld parameter selection experiments to identify a range of welding parameters (voltage, wire speed, travel speed) that can be used for new customer applications
• Partner with robotics engineers to develop a set of rules for how to move the workpiece and robot end-effector to automate trajectory generation
• Perform robotic welding experiments to test other systems in development including sensors and inspection systems, path planning and welding strategies, and new hardware
• Work with our hardware team to fabricate test coupons for application feasibility testing and other in-house experiments
• 30%-50% travel required, in which you will be interfacing and working directly with customers.
• Operate a state-of the art AI-powered robotic welding cell
• Manually weld coupons and other test parts when needed
• Use powered shop tools to cut and etch weld samples

Who You Are

• 3+ years of experience developing robotic welding procedures in an industrial environment
• Proficient in industrial robotics including Yaskawa, ABB, Kuka, or Fanuc platforms
• Background in fusion-based weld parameter development for carbon steel, stainless steel, and aluminum.
• Proficient with manual welding processes including GMAW, FCAW, GTAW, and SMAW
• Understand weld symbology and print interpretation
• Experience with Design of Experiment (DoE) principles
• Passionate about what you do and enjoy working in a collaborative environment

Why You’ll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. 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.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We are seeking a skilled and motivated Machine Learning Engineer with expertise in modern robotics and manipulation to join our Robot Learning team to build agentic AI systems for industrial applications. The ideal candidate will have experience in robotics, with a focus on developing and implementing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots. This role involves working closely with cross-functional teams to design, test, and deploy innovative solutions that improve the performance and capabilities of our robotic systems.

What You’ll Do

• Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks.
• Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control.
• Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems.
• Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning.
• Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells.
• Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
• Stay updated with the latest advancements in robotics, control theory, and planning algorithms.

Who You Are

• Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC).
• Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
• Experience with machine learning techniques applied to robot manipulation.
• Experience building models from scratch and deploying them in real-world applications.
• Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
• Strong programming skills in languages such as C++ or Python.
• Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
• Proven track record of deploying scalable solutions for autonomous robotic systems.
• Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.

Why You'll Love It Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. 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.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We're seeking passionate ML Engineers to join our team at the intersection of welding science and artificial intelligence. We currently have experienced (L3/L4), senior (L5) and staff (L6) level openings within and you'll be instrumental in developing robotic welding solutions. You'll use your skills in computer vision, deep learning, and Python programming to tackle challenges in our field alongside our talented teams.

What You’ll Do

Experienced:

• Implement, validate, and iterate on machine learning algorithms for weld perception tasks, including point cloud registration, seam detection, and joint geometry estimation, progressively expanding coverage across joint types and part geometries.
• Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data ingestion, synthetic data generation, and structured dataset management for iterative model improvement.
• Run rigorous model evaluation experiments, including failure mode analysis, FP/FN rate characterization, and benchmarking against quantitative registration accuracy thresholds, and communicate findings clearly to guide next steps.
• Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations.
• Write clean, well-tested Python code; participate actively in code and experiment reviews; and maintain clear documentation of methods, parameters, and results.

Senior/Staff:

• Lead research, development, and production deployment of advanced perception algorithms spanning point cloud registration, seam detection, and real-time in-process tracking across structured light, RGB, and stereo sensors.
• Design and lead experiments evaluating state-of-the-art deep learning models, including transformer-based and geometric feature learning architectures
• Design and lead real-time perception systems such as during-weld seam tracking, applying sensor fusion with probabilistic state estimation (e.g., Kalman filtering) to achieve robust weld performance.
• Define and own the end-to-end ML lifecycle, from dataset design and annotation strategy through training, benchmarking, and fleet deployment, with clear go/no-go evaluation frameworks.
• Architect distributed training and hyperparameter optimization workflows; drive strategy for data acquisition, annotation tooling, and synthetic vs. real scan data usage.
• Mentor engineers across levels, providing technical leadership on perception systems and ML methodology.

Who You Are

• Master's or Ph.D. in CS, Robotics, or related field (Computer Vision, ML, or Perception); Bachelor's with strong production ML experience also considered. 
• 3+ years (Experienced) / 7+ years (Senior/Staff) in real-world robotics or industrial ML.
• Strong Python fluency and hands-on PyTorch experience, including training, evaluating, and deploying deep learning models in production.
• Experience with 3D point cloud data and libraries such as Open3D, including geometric concepts like surface segmentation, spatial queries, and point-wise labeling.
• Familiarity with 3D deep learning architectures such as PointNet++, GeoTransformer, or similar transformer-based or graph-based approaches on geometric data.
• Comfortable integrating ML models into production robotics services within ROS-based architectures and containerized deployment environments.
• Senior/Staff: Demonstrated track record leading end-to-end ML projects from dataset design through fleet deployment with rigorous go/no-go frameworks; experience architecting distributed training and hyperparameter optimization workflows

Why You’ll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world, closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, complex problems are our everyday work, and our team of intelligent, humble, and driven people makes the impossible possible together.

We’re looking for an Electrical Engineer to design, build, and refine the electrical foundation behind our automation platform. You’ll own critical electrical systems from concept through deployment, ensuring performance, safety, reliability, and scalability across advanced automated equipment and robotic welding cells. This role offers hands-on ownership, technical depth, and the opportunity to directly influence how modern automation products are designed, built, and deployed.

What You’ll Do

• Design and implement scalable electrical systems for advanced automated equipment and robotic welding cells using SOLIDWORKS Electrical.
• Develop and maintain complete electrical documentation packages, including schematics, panel layouts, I/O lists, cable schedules, power distribution diagrams, and BOMs.
• Architect power distribution systems, grounding strategies, and protection schemes to ensure safety, robustness, and compliance.
• Specify and validate electrical components including PLCs, power supplies, breakers, contactors, safety devices, VFDs, servos, and motion systems.
• Develop, test, and debug PLC software across multiple platforms (e.g., Allen-Bradley / Studio 5000 and Delta PLCs / CODESYS) where applicable.
• Integrate third-party electrical subsystems and ensure seamless system-level performance.
• Lead machine safety design efforts, contribute to risk assessments, and support compliance with relevant electrical and industrial safety standards.
• Partner with supply chain and manufacturing to optimize BOM cost, part standardization, availability, and build efficiency.
• Support systems through build, FAT, installation, and commissioning, troubleshooting electrical issues and improving future deployments.
• Drive continuous improvement by feeding field learnings back into design standards, documentation, and component selection.
• Collaborate cross-functionally with mechanical, controls, robotics, and product teams to deliver cohesive system designs.

Who You Are

• 2–6+ years of experience designing and deploying industrial electrical systems for automated equipment or machinery.
• Strong experience creating electrical schematics and panel designs using SOLIDWORKS Electrical (or similar ECAD tools).
• Solid understanding of power distribution, circuit protection, grounding, and industrial wiring standards.
• Experience working with PLC hardware and industrial controls components (e.g., Allen-Bradley, Delta, or similar platforms).
• Familiarity with machine safety systems, including safety PLCs, safety I/O, and risk assessment processes.
• Experience with robotic automation systems is a plus, ideally robotic welding applications (Yaskawa robots, Miller welding equipment, or similar).
• Thinks in terms of scalable, standardized designs that improve reliability, safety, and deployment efficiency.
• Comfortable testing, validating, and iterating on electrical designs using real-world feedback.
• Understands the cost, availability, and lifecycle implications of component selection and works effectively with supply chain partners.
• Communicates clearly, collaborates well across disciplines, and takes ownership of outcomes from concept through field deployment.
• Curious and motivated to continuously improve system performance, safety, cost, and manufacturability

Why You’ll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

At Path Robotics, we love coming to work to solve interesting and tough challenges, but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. 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.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We are standing up a new Robot Learning team focused on whole-body loco-manipulation for precision tasks in heavy manufacturing. 

We are seeking a Machine Learning Engineer to join us as a founding member. You will be among the first ML engineers on a research stack that does not exist anywhere else in the field built around visual reasoning, learned action policies, and reinforcement-learning fine-tuning from real customer data.

What You’ll Do

• Build the team's robot-learning stack from the ground up. This is a founding role; you are designing the training infrastructure, data pipelines, simulation environments, model architectures, and deployment workflows — not inheriting them. Multi-modal perception, scene understanding, and learned action generation work in tight coordination on the stack you help create.
• Stand up ML infrastructure — training pipelines, experiment tracking, data versioning, reproducible sim-to-real workflows.
• Train policies across manipulation, locomotion, and the whole-body control coupling between them. On legged platforms performing precision tasks, manipulation and locomotion are not separable — every arm motion shifts the centre of mass; the whole-body controller compensates in real time to maintain accuracy at the tool. Behavioural cloning, diffusion- and flow-matching action generation, reinforcement-learning fine-tuning. Cobots, industrial arms, and mobile platforms.
• Deploy in stages — through a phased rollout strategy that builds production trust over time. Every real-world execution accumulates training data for continuous improvement.
• Collaborate daily with mechanical engineers, perception engineers, robotics engineers, and manufacturing domain experts. Within-department rotation across home teams is expected.

Who You Are

• Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field — or equivalent experience.
• 2+ years of hands-on robot learning experience. You have trained policies and deployed them on real robot hardware — not just in simulation.
• Sim-to-real transfer experience — built simulation environments, implemented domain randomisation, transferred policies to physical robots, debugged where it broke.
• Implementation experience with diffusion-based or flow-matching action policies for robots, and with action chunking.
• Reinforcement learning for robotics applied on real hardware — sample-efficient on-robot methods, residual RL on top of pretrained policies, on-policy fine-tuning of foundation policies.
• Strong programming skills in Python; PyTorch and ML training infrastructure at production level.
• Practical experience with NVIDIA Isaac Sim / Isaac Lab, MuJoCo, or equivalent.
• Comfort with physical robots — debugging, iterating, deploying.
• Strong communication skills, able to convey complex technical concepts to a diverse audience.

Strongly Preferred:

• Edge inference on edge-class hardware (TensorRT, ONNX, FP16 / INT8 quantisation). Real-time on-robot deployment is a core requirement.
• Visual self-supervised representation learning experience on robot or 3D-vision tasks.
• Legged-robot or whole-body control experience — locomotion, manipulation on a floating base, or the integration between them on quadrupeds or humanoids.
• Physics-informed ML — hybrid models where learned components are constrained by known physics.
• Experience building ML pipelines or infrastructure in a team setting.

Why You’ll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. 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.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.