Build the Path Forward

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.

We’re looking for a Senior Software Engineer to be an architect and caretaker of our Perception codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You’ll work closely with our research teams and our data platform team, leveraging their data and ML infrastructure expertise, while focusing on creating a robust, scalable, and developer-friendly foundation for our Perception models.

What You’ll Do

• Wrap perception ML models (part registration, seam localization, real-time weld tracking) into reliable production services that ship to our internationally deployed fleet of welding robots.
• Build gRPC/Protobuf service interfaces with rigorous schema versioning so ML models can evolve seamlessly within our software stack.
• Own deployment infrastructure, including containerization, CUDA/PyTorch environment management, and GPU memory budgeting.
• Build observability and telemetry pipelines that surface fleet-wide perception failures, connecting model metrics to operator outcomes and shortening debug cycles.
• Design data pipelines that close the active-learning loop, ingesting fleet data through annotation tools and routing labeled data back to training services.
• Help establish software best practices and drive engineering quality through code review, testing harnesses, and CI/CD, and mentor mid-level engineers writing production perception services.

Who You Are

• 5+ years building production backend systems in Python (C++ is a plus). 
• Expertise in architecture, concurrency, performance, and API design.
• Deep experience designing and operating gRPC/Protobuf services in production, including schema evolution and backward-compatible API contracts across long-lived clients.
• Hands-on with containerized deployment, Linux, and GPU compute. Comfortable diagnosing CUDA driver, PyTorch version, and memory allocation issues on inference hardware.
• Experience building developer tools, frameworks, or platforms, especially those used by ML, CV, or research teams.
• Comfortable enough with ML and computer vision workflows (training loops, evaluation harnesses, point clouds) to support them in code, even though you don't necessarily tune models yourself.
• Thrive at the boundary between research and production, translating prototypes into reliable services while enabling the researchers behind them.

Why You'll Love It Here

• Free lunch every day
• Flexible PTO
• Medical, Dental, and Vision insurance
• 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
• 401K through Empower
• Paid Referral Bonus

Who We Are

ABOUT THE ROLE
The Chief Engineer of Fury System Architecture & Design is for Fury. You will conceive, define, and optimize the system's architecture, core functionalities, and performance from concept ideation through detailed design definition and validation. This role drives the technical roadmap for Fury, ensuring it embodies cutting-edge autonomy, aerospace engineering, and robust mission capability. Your focus is the intrinsic design, performance, and functionality of the system, collaborating to ensure manufacturability without directly managing production.

WHAT YOU’LL DO

• Define the end-to-end technical vision, system architecture, and strategic design roadmap for Fury UAS, translating mission requirements into innovative engineering solutions.
• Lead the conceptualization, detailed design, multi-domain analysis (aerodynamics, structures, thermal, EMI/EMC), and rigorous optimization of all Fury subsystems (airframe, propulsion, avionics, flight controls, sensors, autonomy hardware) for unparalleled performance, reliability, and survivability.
• Lead and mentor multi-disciplinary design engineering teams (aerospace, mechanical, electrical, software, GNC, autonomy hardware) through the full product design lifecycle.
• Drive critical design decisions, trade studies, and technical risk assessments that define Fury's capabilities.
• Collaborate intimately with Systems Engineering, Software, Autonomy, and GNC teams for seamless integration and optimal overall system performance.
• Serve as the principal engineering interface to strategic technology partners for advanced component research, evaluation, and technical specification.
• Champion Design for X principles (e.g., Performance, Reliability, Test, Upgradeability) from early design stages.
• Oversee selection and mastery of advanced engineering tools (MBSE, CAD/CAE, CFD, FEA, virtual prototyping, digital twin) to accelerate design cycles and rigorously validate system performance.
• Communicate design maturity, technical risks, and strategic technology insertion plans to senior leadership.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Aerospace, Electrical, Mechanical, Systems Engineering, or a related field.
• 10+ years progressive leadership in aerospace system architecture, deep technical design, and full lifecycle development of complex autonomous flight systems, including leading multi-disciplinary design teams through conceptualization, detailed design, and rigorous validation.
• Proven ability to define, decompose, and manage complex system requirements, architecting innovative solutions and guiding technical trade-offs.
• Strong track record delivering groundbreaking, high-performing aerospace designs, balancing ambition with rigorous analysis and integrity.
• Deep and broad understanding of aerospace system architecture, flight dynamics, propulsion, avionics, sensor integration, autonomy hardware/software, and complex flight control systems.
• Expertise in Model-Based Systems Engineering (MBSE) and proficiency with advanced analytical/simulation tools (CFD, FEA, MATLAB/Simulink) for design optimization and performance prediction.
• Excellent problem-solving skills with a data-driven, first-principles-based, and results-oriented mindset.
• Effective communicator capable of driving alignment across highly technical, multi-disciplinary engineering teams and influencing senior technical and business stakeholders.
• Ability to obtain and maintain a U.S. security clearance.

PREFERRED QUALIFICATIONS

• Post-graduate degree (Master's or Ph.D.) in a relevant engineering discipline.
• Experience architecting entirely new aerospace platforms or revolutionary system concepts from a blank slate.
• Direct experience integrating AI/ML-driven decision-making, perception, and advanced autonomy into core flight system designs.
• Expertise in advanced materials science and structural design for extreme aerospace environments.
• Experience in a high-growth startup or advanced R&D defense environment, emphasizing agile design iteration and rapid proof-of-concept validation.
• Professional certifications such as CSEP, INCOSE ESEP.
• Track record managing design engineering across multiple concurrent, complex aerospace programs.
• Familiarity with digital twin technologies for design validation, virtual commissioning, and predictive performance analytics during the design phase.
• Prior experience leading 'design-to-cost' and 'design-to-performance' initiatives from concept through verification.

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 need a Technical Marketing Engineer. Someone who's spent real time in manufacturing and can turn that knowledge into content that technical buyers actually trust.

This isn't a traditional marketing role. You'll sit on the marketing team but spend your time with engineering, applications, sales, and customer success. Your job is to make sure everything we put out speaks the language of the shop floor, not Silicon Valley.

If a welding engineer reads our white paper, they should think "these people know what they're talking about." That's the bar.

What You’ll Do

• Write white papers, case studies, application guides, product one-pagers, and blog posts grounded in actual manufacturing and welding knowledge
• Build and maintain ROI calculators, business case tools, and other quantitative sales enablement materials
• Translate AI and robotics capabilities into clear, credible messaging for manufacturing audiences. No buzzword stacking.
• Support product launches with technically accurate positioning, competitive analysis, and go-to-market materials
• Create demo scripts, talking points, and presentation content for trade shows (FABTECH, AWS, industry events)
• Work with the applications engineering team to capture customer stories, weld data, and production metrics
• Be the last check on all outbound technical marketing. If it would lose credibility with a fabrication manager, it doesn't go out.
• Contribute to website content, video scripts, and social posts that need technical depth
• Help sharpen competitive positioning against traditional automation and other robotics companies

Who You Are

• Bachelor's degree in Mechanical Engineering, Welding Engineering, Manufacturing Engineering, or a closely related field
• 3+ years in engineering, manufacturing, welding, or fabrication environments. You've been on shop floors and understand the realities of production.
• Strong technical writing. You can explain complex concepts clearly without dumbing them down.
• Familiarity with welding
• Comfortable working across engineering, sales, and leadership teams

Desired but not required:

• AWS CWI or CWE certification
• Experience with robotic welding or automation systems
• Background in applications engineering, technical sales, or product marketing at a manufacturing technology company
• Experience building ROI models or business case analyses
• Familiarity with heavy fabrication, shipbuilding, structural steel, or defense manufacturing
• Working understanding of AI/ML concepts (you don't need to write code, but you should be able to explain what a model does and why it matters)

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, 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.

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.

You will play a mission-critical role in architecting our data platform, enabling our machine learning and robotics teams to move faster, experiment more effectively, and deploy AI solutions into production.

This is a founding-level opportunity to lay the groundwork for our entire data infrastructure and build the data team. Reporting to the Director of AI, you’ll collaborate with a talented team of machine learning engineers and software engineers to deliver clean, reliable, and scalable data pipelines that fuel experimentation, production models, and cutting-edge AI development.

What You’ll Do

• Architect and build our end-to-end data platform, including ingestion, transformation, orchestration, quality monitoring, and data access layers.
• Lead initiatives that break down data silos and enable seamless collaboration between business domains
• Design and develop optimized database architecture and data schemas with strategic partitioning for large scale multi-modal data.
• Implement scalable ETL/ELT pipelines that serve experimentation, training, validation, and real-time deployment needs across robotics and AI systems.
• Collaborate with ML and robotics engineers to define and deliver the data infrastructure required for cutting-edge model development and real-world deployment.
• Establish data governance, reproducibility, and lineage standards to ensure data integrity and traceability at scale.
• Develop data contracts and API specifications to ensure reliable data exchange between robotics systems, ML models, and downstream applications.
• Write production-grade, maintainable, and well-documented Python and SQL code for critical data workflows.
• Help shape our MLOps, observability, and CI/CD practices for continuous learning systems in physical environments.

Who You Are

• 5+ years of experience in data engineering, with a strong track record of building scalable data systems and infrastructure from the ground up.
• Previous experience supporting AI/ML teams with data platforms in fast-paced or startup environments.
• Deep proficiency in SQL, Python, and distributed data systems.
• Hands-on experience with tools like AWS, Snowflake, Dagster, dbt, or equivalent modern data stack.
• Experience with streaming technologies such as Kafka, Flink, or similar platforms for real-time data processing.
• Passionate about building clean, reliable data pipelines that power real-time ML and robotics workflows.
• Experience with data quality, observability, and production monitoring of data systems.
• Comfortable operating in ambiguity and taking ownership. You’re excited to build and own the foundation of a data-first company.
• Bonus: experience working with sensor data, robotics logs, time series, or other high-volume real-world datasets.

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

Regulatory and Compliance Requirements
This position may support work performed under U.S. Government contracts and requires compliance with applicable federal regulations, including FAR and DFARS where applicable.
The role may involve access to export-controlled information subject to ITAR and/or EAR. Candidates must be able to comply with U.S. export control regulations, which may include meeting the definition of a “U.S. Person” where required.
This position may also involve handling Controlled Unclassified Information (CUI) and requires adherence to company and federal data protection and confidentiality standards. Employment may be contingent upon successful completion of a background check consistent with applicable requirements.

About Path robotics

Path Robotics is redefining what's possible in autonomous welding. Our AI-powered robotic welding systems use advanced sensing and computer vision to adapt in real time — no fixtures, no programming, no limits. We're building the future of manufacturing, and we're looking for engineers who want to get their hands dirty doing it.

The Role

We're looking for a Software Engineer with strong systems-level instincts and experience building software that interfaces directly with hardware. You'll work across our sensing stack, robotic platform, and compute infrastructure — writing the code that lets our robots see, move, and think. This is a role for someone who's comfortable working close to the metal: writing HALs, integrating sensors and actuators, and squeezing performance out of embedded compute platforms.

What You’ll Do

• Develop full-stack software for sensing and robotic systems, including HALs for cameras, laser sensors, and communication interfaces.
  
  
• Build and extend the software architecture that integrates robotic arms, welding systems, and peripheral hardware into a unified control stack.
  
  
• Design and implement robust device drivers, HALs, and ROS-based components for production robotic applications.
  
  
• Develop and optimize software for embedded compute platforms such as NVIDIA Jetson, including real-time and GPU-accelerated workloads.
  
  
• Work closely with hardware, firmware, and systems teams to bring up devices, debug issues across the stack, support deployments, and improve field performance.

Who You Are

• 3–6 years of software engineering experience in robotics, automation, embedded systems, or a related field.
  
  
• Strong C++ skills in production environments, with working knowledge of Python for tooling, scripting, and testing.
  
  
• Hands-on experience with ROS or ROS2 in deployed systems.
  
  
• Experience building HALs, device drivers, or other low-level software for sensors, actuators, and hardware peripherals.
  
  
• Comfortable with embedded Linux, cross-compilation, and working alongside hardware and firmware engineers to debug integrated systems.

Why You’ll Love Working Here

• Competitive salary and equity in a well-funded, high-growth robotics company
• Comprehensive health, dental, and vision benefits
• 401(k)
• Flexible PTO
• Hands-on, collaborative culture

*Path Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*

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

We’re looking for a Software Engineer with deep experience in C++ and Python to lead the development of core systems powering our intelligent robotic platforms. In this role, you’ll architect and implement high-performance software at the intersection of real-time robotics, perception, and machine learning. You’ll take technical ownership of critical components, mentor team members, and help shape the future of our robotics software stack.

What You’ll Do

• Drive software architecture decisions across robotics and perception systems.
• Design, implement, and optimize performance-critical components of the robotics and perception stack in C++ and Python.
• Develop and integrate 3D point cloud processing algorithms for weld joint perception, including registration, pose estimation, segmentation, and geometric reasoning.
• Lead the integration of machine learning models into real-time systems, ensuring low-latency, high-reliability performance.
• Design and implement gRPC/Protobuf service interfaces with attention to schema versioning and backward-compatible API evolution.
• Instrument perception systems for production observability, building telemetry pipelines that connect algorithmic metrics to business outcomes.

Who You Are

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• 5+ years of professional experience in software engineering; title and compensation will be commensurate with experience.
• Solid grasp of system-level software design, concurrency, memory management, and optimization.
• Advanced proficiency in modern C++ and Python, with demonstrated experience building production services using gRPC and Protobuf.
• Experience with robotics or perception applications, including familiarity with ROS/ROS2, motion planning, and hardware interfaces is preferred.
• Proficient in Linux-based development; experience with Docker strongly preferred

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

About Path robotics

Path Robotics is redefining what's possible in autonomous welding. Our AI-powered robotic welding systems use advanced sensing and computer vision to adapt in real time — no fixtures, no programming, no limits. We're building the future of manufacturing, and we're looking for engineers who want to get their hands dirty doing it.

The Role

We're looking for a Software Engineer to build and maintain the infrastructure that powers our AI and machine learning workflows. You'll be the bridge between our AI research team and production — building the tooling, pipelines, and deployment systems that let models go from experiment to factory floor. This is a role for someone who thinks in systems but speaks ML: you understand what researchers need, and you know how to build reliable software around it.

What You’ll Do

• Build and maintain the software infrastructure that supports robot learning, including model training, experiment tracking, versioning, and deployment.
  
  
• Develop pipelines and tools for collecting, processing, and curating large-scale robotic sensor and telemetry data.
  
  
• Support deployment of AI models onto robotic systems, including simulation, hardware integration, runtime monitoring, and feedback loops from field data.
  
  
• Build internal tools that accelerate AI engineering workflows across dataset exploration, testing, evaluation, and productionisation.
  
  
• Partner closely with AI researchers and robotics engineers to turn model requirements into robust, scalable software systems.

Who You Are

• You have 3–6 years of software engineering experience, with solid exposure to ML infrastructure, MLOps, or AI-enabled systems.
  
  
• You write strong production software in Python, and ideally also have experience with C++, ROS, or robotics software stacks.
  
  
• You have experience with PyTorch and a practical understanding of the software systems needed to support AI model development.
  
  
• You are comfortable with data pipelines, simulation environments, containerised workflows, and GPU compute in Linux environments.
  
  
• You enjoy working across AI and robotics, and can support the full path from data collection and testing through to deployment on real systems.

Why You’ll Love Working Here

• Competitive salary and equity in a well-funded, high-growth robotics company
• Comprehensive health, dental, and vision benefits
• 401(k)
• Flexible PTO
• Hands-on, collaborative culture

*Path Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*

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

We’re looking for a Software Engineer with deep experience in C++ and Python to lead the development of core systems powering our intelligent robotic platforms. In this role, you’ll architect and implement high-performance software at the intersection of real-time robotics, perception, and machine learning. You’ll take technical ownership of critical components, mentor team members, and help shape the future of our robotics software stack.

What You’ll Do

• Drive software architecture decisions across robotics and perception systems.
• Design, implement, and optimize performance-critical components of the robotics and perception stack in C++ and Python.
• Develop and integrate 3D point cloud processing algorithms for weld joint perception, including registration, pose estimation, segmentation, and geometric reasoning.
• Lead the integration of machine learning models into real-time systems, ensuring low-latency, high-reliability performance.
• Design and implement gRPC/Protobuf service interfaces with attention to schema versioning and backward-compatible API evolution.
• Instrument perception systems for production observability, building telemetry pipelines that connect algorithmic metrics to business outcomes.

Who You Are

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• 5+ years of professional experience in software engineering; title and compensation will be commensurate with experience.
• Solid grasp of system-level software design, concurrency, memory management, and optimization.
• Advanced proficiency in modern C++ and Python, with demonstrated experience building production services using gRPC and Protobuf.
• Experience with robotics or perception applications, including familiarity with ROS/ROS2, motion planning, and hardware interfaces is preferred.
• Proficient in Linux-based development; experience with Docker strongly preferred

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

We’re looking for a Software Engineer with deep experience in C++ and Python to lead the development of core systems powering our intelligent robotic platforms. In this role, you’ll architect and implement high-performance software at the intersection of real-time robotics, perception, and machine learning. You’ll take technical ownership of critical components, mentor team members, and help shape the future of our robotics software stack.

What You’ll Do

• Drive software architecture decisions across robotics and perception systems.
• Design, implement, and optimize performance-critical components of the robotics and perception stack in C++ and Python.
• Develop and integrate 3D point cloud processing algorithms for weld joint perception, including registration, pose estimation, segmentation, and geometric reasoning.
• Lead the integration of machine learning models into real-time systems, ensuring low-latency, high-reliability performance.
• Design and implement gRPC/Protobuf service interfaces with attention to schema versioning and backward-compatible API evolution.
• Instrument perception systems for production observability, building telemetry pipelines that connect algorithmic metrics to business outcomes.

Who You Are

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• 5+ years of professional experience in software engineering; title and compensation will be commensurate with experience.
• Solid grasp of system-level software design, concurrency, memory management, and optimization.
• Advanced proficiency in modern C++ and Python, with demonstrated experience building production services using gRPC and Protobuf.
• Experience with robotics or perception applications, including familiarity with ROS/ROS2, motion planning, and hardware interfaces is preferred.
• Proficient in Linux-based development; experience with Docker strongly preferred

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 attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.

We’re looking for a Senior Software Engineer to be the architect and caretaker of our codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You’ll work closely with our research teams and our data platform team — leveraging their data and ML infrastructure expertise — while focusing on creating a robust, scalable, and developer-friendly foundation.

What You’ll Do

• Architect production-grade Python systems that make experimentation, prototyping, and deployment fast, reliable, and low-friction for research teams.
• Lead engineering best practices around code quality, testing, modularity, and documentation to keep our codebase clean and maintainable.
• Build internal tooling, APIs, and libraries that abstract away infrastructure complexity so researchers can focus on solving ML, CV, and robotics problems.
• Collaborate with the data platform team to integrate data processing, training, and inference capabilities — without owning those pipelines end-to-end.
• Design CI/CD workflows for research-heavy Python projects to ensure smooth transition from prototype to production.
• Act as a technical lead within the research team, making key engineering decisions and mentoring others in writing high-quality, maintainable code.

Who You Are

• Strong background in software architecture and large-scale backend development in any language (C#, Java, Python, etc)
• Have experience building developer tools, frameworks, or platforms for technical teams.
• Proven experience with cloud-based development, including designing and managing data storage, persistence, and secure access in cloud environments, and integrating on-premises infrastructure with cloud services.
• Excited to learn ML/CV/robotics workflows well enough to support them — but your superpower is building great software, not tuning models.
• Thrive in collaborative environments where you’re a bridge between research and production.

Team Player:

• Startup Energizer: The idea of joining a growing venture-backed startup excites you because you know your work will have an immediate and significant impact.
• Collaboration Champion: You thrive in a collaborative environment, working closely with others to achieve common goals and drive success.
• Mentorship Minded: You are passionate about helping peers, fostering best practices, and promoting continuous improvement within the team.
• Quality Advocate: You are dedicated to maintaining high standards of quality, shipping reliable and high-quality code that you can be proud of, knowing that good quality also enables fast delivery.

Why You'll Love It Here

• Free lunch every day
• Flexible PTO
• Medical, Dental, and Vision insurance
• 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
• 401K through Empower
• Paid Referral Bonus

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

Manufacturing demands exceptionally high performance, reliability, and adaptability. Processes like welding involve fast, complex, and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions.

We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn, predict, and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast, high-fidelity learned ones.

We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality.

This role can be located in our Columbus, Ohio Headquarters or Remote.

What You’ll Do

• Build a learned world model of the welding process that predicts future system behavior under robot actions.
• Develop multimodal neural simulators incorporating signals such as 3D scans, video, thermal data, and electrical measurements.
• Design, train, and evaluate large-scale generative or dynamics models (e.g., video prediction, latent world models, 3D or spatiotemporal representations) capable of long-horizon rollouts.
• Collaborate with reinforcement learning engineers by integrating the neural simulator into RL pipelines for policy training and evaluation.
• Run research tracks in parallel with production development, including hypothesis-driven experimentation and ablation.
• Partner closely with data and MLOps teams to support scalable training, evaluation, and deployment - while remaining comfortable owning pieces of the stack when needed.
• Translate research prototypes into robust, maintainable production code when they prove valuable.
• Validate simulator performance against real-world robotic welding data and support sim-to-real transfer.

Who You Are

• Experience building and deploying ML systems for robotics or other complex physical processes in real-world settings.
• Hands-on experience with world models, learned simulators, video generation, 3D modeling, or dynamics prediction.
• Comfortable training large models from scratch and working with the tooling and infrastructure required to scale experiments.
• Enjoy working with messy, real-world data and are pragmatic about imperfect ground truth.
• Strong software engineer with solid Python skills and experience in frameworks such as PyTorch or JAX.
• You are excited by a role that blends research depth with practical impact, and you’re willing to context-switch when the team needs it.

A Note on Background

We do not expect prior welding experience. We do expect comfort modeling complex physical systems from data, reasoning about failure modes, and iterating toward accuracy under real-world constraints.

Why This Role

• You’ll help define the core learning infrastructure that underpins our robotic systems
• You’ll have space to pursue research tracks that run in parallel with production development.
• You’ll work on problems where success is measurable in the physical world - not just benchmarks.
• You’ll join a team that values depth, ownership, and adaptability over narrow specialization.

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, 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 Senior Machine Learning Engineer (Tech Lead) for this new team. You write code, set the technical direction, make the architectural decisions the team builds on, mentor junior and intermediate engineers, and help shape how the team works.

What You’ll Do

• Set the ML technical direction for the team, architectural choices on perception, reasoning, and action generation; training methodology; data strategy; the path from research bet to deployed capability. As one of the first senior hires, you are designing the approach, not extending it.
• Own the architectural workstreams that define the team's research and engineering bets — multiple core build streams across action-policy learning, world-model-based supervision, and policy-orchestration interfaces.
• Design hybrid physics-ML architectures for the integrated loco-manipulation stack. Manipulation, locomotion, and the whole-body control coupling between them are not separable on legged platforms; sub-millimetre continuous-trajectory precision at the tool requires the whole-body controller to compensate for base motion in real time. Today on fixed bases; tomorrow on mobile platforms. The integration is the hard problem; you own its design.
• Own the cross-functional partnerships with hardware teams, domain experts, customer-facing assurance standards, and upstream / downstream teams. Drive a phased deployment strategy that builds production trust over time.
• Mentor and shape the team, guide junior and intermediate ICs across software, ML, robotics, and perception backgrounds; establish code-quality standards, review practices, and engineering norms; help identify and attract next hires. You write code throughout — this is a tech-lead role, not a step away from the work.

Who You Are

• Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field or equivalent experience.
• 5+ years of hands-on robot learning experience. You have shipped sim-to-real policies on real robots, across different tasks or platforms.
• Demonstrated technical leadership and mentorship. You have made architectural decisions on robot learning systems that others built on, and you have meaningfully shaped the development of more-junior engineers as a tech lead. This can be in academia (leading a lab subgroup, advising students) or industry.
• Deep sim-to-real expertise — domain randomisation, system identification, teacher-student distillation, sim-to-online fine-tuning. You can design a transfer strategy for a novel problem.
• Full-stack robot learning — fluent across simulation construction, policy training, data collection, real-world deployment, and failure diagnosis.
• Physics-informed ML or hybrid control experience — PINNs, neural ODEs, MPC with learned dynamics, process-model-conditioned generation, or similar.
• A defensible view on visual-reasoning-centric substrates for grounded spatial / physical reasoning.
• Push-back willingness — you can defend a non-obvious architectural commitment under pressure, and change your mind on evidence.
• Strong programming skills in Python and C++; production-quality code with reproducibility, testing, and maintainability discipline.
• Strong communication skills, able to convey complex technical concepts to a diverse audience.
• Demonstrated independent technical authority — you have set technical direction in a tech-lead capacity, leading a research subgroup, owning an architecture across multiple ICs' work, or making the architectural call on a high-profile project.

Strongly Preferred:

• Edge inference depth (TensorRT, ONNX, edge-class deployment).
• Loco-manipulation experience — locomotion, whole-body control, and manipulation on legged platforms (quadrupeds, humanoids). The coupling between the three is the hard problem; direct hands-on experience or a defensible architectural view both count.
• Precision manipulation or surgical robotics — sub-mm accuracy tasks.
• Flow-matching action-head design at depth — direct experience with the architectural pattern.
• Visual self-supervised representation learning experience on robot or 3D-vision tasks.
• Multi-skill workflow or hierarchical policy design — skill sequencing, failure detection, control mode transitions.
• Experience building ML capability from early stage — first or second ML engineer on a team, or built a research group's infrastructure from scratch.

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.

About Avandra Imaging

Avandra Imaging's mission is to organize the world's medical images in order to accelerate innovation and unlock patient access to the best care in the world. Avandra is poised to revolutionize healthcare research and innovation by creating the largest indexed data cloud of medical imaging. This platform will unlock unprecedented access to real-world imaging data, essential for biopharma research, medical device innovation, AI model training, and improved patient care. Leveraging its strategic acquisitions, Avandra aims to aggregate and de-identify vast amounts of imaging data, providing frictionless access to this invaluable resource. Avandra has a national footprint of over 5,000 customer integrations and a market share of approximately 70% -- this robust infrastructure supports our core business, ensuring continued growth and cash flow to fuel our innovative data cloud platform.   

Under the leadership of Founder and CEO Ryan Tarzy, Avandra's experienced team is well-equipped to capitalize on this opportunity. Avandra’s business model centers on generating recurring subscription revenue from its cloud platform, offering indexed, cleansed, and enhanced imaging data to health systems, AI companies, and biopharma firms. The go-to-market strategy focuses initially on data marketplaces to drive near-term sales, with plans to expand direct sales efforts targeting AI/ML companies, medical device firms, and biopharma companies. This strategic approach positions Avandra as a leading player in the competitive landscape, with the potential for substantial growth and international expansion in the coming years.

About the Job

As a Part-Time System Engineer at Avandra Imaging, you will be an early-career technical generalist supporting the stability, reliability, and performance of our systems. This role bridges frontline technical support, quality assurance, and systems automation, enabling Engineering teams to move quickly and confidently.

This is a hands-on, growth-oriented role designed for candidates early in their technical careers who are eager to build strong foundations in systems engineering, automation, and troubleshooting in a real-world production environment.

What You’ll Do:

Technical Support & Systems Troubleshooting

• Diagnose and resolve software, system, and infrastructure issues across Avandra’s products and internal tooling
• Act as a technical point of contact for escalated or ambiguous issues impacting reliability, performance, or accessibility
• Support deployment, configuration, and maintenance of software, hardware, and internal systems

Quality Assurance

• Contribute to the quality and reliability of Avandra’s software through structured QA processes
• Write and maintain automated test suites (integration, regression, smoke tests)
• Participate in release testing and validation efforts
• Ensure appropriate test coverage for new features and critical infrastructure

System Automation

• Write scripts and tools for deployment, monitoring, and troubleshooting
• Support infrastructure provisioning and configuration using automation tools (e.g., Terraform, Ansible)
• Improve system observability through logging, alerting, and dashboards
• Identify repetitive tasks and build automated solutions to reduce manual effort

What You’ll Need:

• Experience in a technical role (support, QA, IT operations, help desk) or relevant academic, bootcamp, or project experience
• Basic proficiency with Linux/Unix or macOS command-line environments
• Familiarity with at least one scripting language (Python, Bash, JavaScript, Go, etc.)
• Understanding of APIs, client/server concepts, and modern web applications
• Ability to read and interpret logs, error messages, and system metrics at a foundational level
• Basic experience with databases (queries, connections, or schema concepts)

What You’ll Bring to the Table:

• Problem-Solving Mindset: Ability to break down ambiguous technical problems into clear, actionable steps
• Curiosity & Learning Agility: Strong desire to learn new systems, tools, and technologies quickly
• Automation Orientation: Interest in reducing manual work through scripting, tooling, and process improvement
• Collaboration & Communication: Ability to work cross-functionally with Engineering, Product, and Support teams
• Ownership & Initiative: Willingness to take responsibility, ask questions, and escalate issues appropriately

Benefits & Perks:

• Impact: Work on systems that support one of the largest medical imaging data platforms in the world
• Growth: Structured exposure to systems engineering, QA, automation, and cloud infrastructure
• Culture: Collaborative, engineering-driven environment focused on learning and continuous improvement
• Equity: Opportunity to participate in a high-growth, equity-driven company

Hourly Rate / Compensation:

• $20.00 per hour

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

• 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
• Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
• Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
• Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
• Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
• Experience in Typescript development for prototyping and integrations
• Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

• Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Experience optimizing inference costs and latency for large-scale deployments.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Any Google Cloud Professional Certification

What you’ll be doing in this role:

• Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
• Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
• Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
• Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
• Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
• Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
• Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
• Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you’ll need to accomplish in your first year:

• Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
• Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Remote

#LI-Hybrid

#LI-Onsite

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR DATA ENGINEER

We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.

What experience should you have:

• 6+ years of data engineering experience with a focus on modern cloud platforms.
• Expert-level proficiency in Python and SQL is mandatory.
• Strong software engineering background with proficiency in Python for building custom integrations and data tools.
• Deep production experience with dbt for data modeling and Airflow for orchestration.
• Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
• Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
• Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
• Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

Preferred Qualifications

• Experience architecting feature stores or data pipelines specifically for ML workloads.
• The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
• A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
• An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you’ll be doing in this role:

• Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
• Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
• Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
• Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:

• Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
• Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
• Standardize the organization’s approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full stack troubleshooting, performance analysis and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached and SQS)
• Good networking skills with VPC, Security Groups and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

#LI-IK1

What Impact You'll Have:

Join GRVTY’s mission-focused team as a DevSecOps Engineer, where you’ll have the opportunity to enable secure, automated, and scalable deployment of advanced data analytics tools. You’ll help bridge the gap between development and operations – ensuring that AI/ML and analytic software runs reliably and securely in mission environments.

What You'll Be Owning:

• Design, deploy, and maintain containerized environments for analytic software (Docker, Kubernetes).
• Implement CI/CD pipelines to automate build, test, and deployment processes.
• Integrate cybersecurity best practices into all development activities.
• Collaborate with engineers and analysts to optimize system performance and uptime.
• Support data ingestion, workflow automation, and system monitoring.

What You Must Have:

• You must have a TS/SCI Security Clearance with the ability to obtain a CI/Poly
• Bachelor’s degree in Computer Engineering, Information Systems, or related field.
• Experience with DevOps tools (GitLab CI, Jenkins, Ansible, Terraform, etc.).
• Strong knowledge of Linux systems administration and network security fundamentals.
• Familiarity with Python scripting and automation.

What Would Be Nice to Have: 

• Experience with DoD cybersecurity frameworks (RMF, STIG, or NIST 800-53).
• Understanding of cloud-native architectures or hybrid deployments.
• Background in AI/ML infrastructure support or data pipeline optimization.

This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.

What You'll Be Owning:

Join GRVTY’s mission-focused team as a Software Engineer advancing data processing and analytic capabilities. In this role, you’ll develop, integrate, and optimize software that drives real-time intelligence production and research innovation. Design and develop software tools that process, analyze, and visualize large-scale PIR and GEOINT data. Collaborate with analysts and data scientists to automate complex workflows using Python and modern frameworks. Integrate AI/ML algorithms and statistical models into production environments. Support rapid prototyping and scripting to transition capabilities from research to operations. Participate in user acceptance testing, documentation, and technical presentations.

What You Must Have:

• Bachelor’s degree in Computer Science, Engineering, or a related field (advanced degree preferred).
• Active TS/SCI Clearance required Experience with Python, Java, C++, or similar languages for data-driven applications.
• Familiarity with containerization (Docker, Kubernetes) and cloud or hybrid architectures.
• Understanding of data pipelines, APIs, and database integration (SQL/NoSQL).

What Would Be Nice to Have: 

• Experience with AI/ML frameworks (TensorFlow, PyTorch). Exposure to geospatial tools (e.g., GDAL, ArcGIS, or QGIS).
• Familiarity with intelligence data types (e.g., EO/IR, SAR, or GEOINT).

This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000