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Sr. Software Engineer - Simulation / Support
Diligent Robotics · Austin, Texas, United States
Pay
Not listed
Setting
On-site
Listed by Diligent Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Manufacturing Reliability Engineer
Diligent Robotics · Milwaukee, Wisconsin, United States
Pay
$95k–165k
Setting
On-site
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Manufacturing Reliability Engineer (Based in Milwaukee; Relocation assistance available)
Milwaukee, Wisconsin, United States
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What we’re doing isn’t easy, but nothing worth doing ever is.
Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. We’re hiring a Manufacturing Reliability Engineer to own production test for our robots at our contract manufacturer: you’ll design and run robust end-to-end test protocols, provision fleets of robots for production, and own the KPIs that define production quality.
This role is based in the Milwaukee, WI area and requires close collaboration across software, hardware, operations, and product engineering teams.
We welcome applicants from outside Milwaukee who are willing to relocate. Relocation assistance/bonus will be a part of compensation package.
Key Responsibilities
End-to-end test process ownership. Create, validate, and maintain production test protocols and gating criteria from incoming inspection through final test and shipment.
Provisioning of bots. Design and operate provisioning flows (imaging, firmware deployment, configuration, validation) and the tooling/fixtures needed to provision and handoff robots for production.
KPIs and continuous improvement. Own key production metrics — First Pass Yield (FPY), cycle time, and test coverage — and drive continuous improvements to meet throughput and quality targets.
Test automation & infrastructure. Architect, implement, and maintain automated test frameworks, harnesses, and test rigs used at the CM site. Ensure tests are stable, fast, and provide actionable failure data.
Cross-functional escalation & RCA. Lead root-cause analysis for field and production failures; coordinate corrective actions with design, firmware, and CM engineering to close quality loops.
On-site production leadership. Be the onsite technical authority at the contract manufacturer: train operators, debug failures on the line, and continuously refine processes with CM partners.
What Success Looks Like
Improved FPY and reduced rework rates across production builds.
Reduced per-unit cycle time for test/provisioning while increasing test coverage.
Stable, fully automated provisioning flow with minimal manual intervention.
Basic Qualifications
5+ years experience in production/test engineering for complex electro-mechanical products (robotics, medical devices, consumer electronics, or similar).
Proven ownership of E2E production test processes and production provisioning at a contract manufacturer (on-site experience strongly preferred).
Deep familiarity with test protocol development: test specification writing, fixture design, automated test implementation, and validation.
Strong hands-on experience with firmware provisioning and validation for sensors and compute (sensor FW + compute/host FW).
Broad technical knowledge across systems integration (ES integration), sensors (e.g., cameras, LiDAR, IMU or similar), embedded compute platforms, and networking/provisioning.
Excellent debugging skills across hardware, firmware, and system software; able to triage complex cross-domain failures.
Strong data-driven mindset: experienced with KPIs (FPY, cycle time, test coverage), statistical process control, and metrics reporting. Outstanding communication skills and experience working closely with contract manufacturers, operators, and cross-functional engineering teams.
Comfortable being onsite full-time at a contract manufacturer and traveling as needed.
Preferred Qualifications
Experience with robotics stacks (ROS or equivalent) and robotic sensor calibration/test.
Familiarity with manufacturing automation tools, CI for embedded systems, and test frameworks (Python, pytest, LabVIEW, or similar).
Experience with provisioning large fleets (device identity, secure image signing, automated configuration).
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Listed by Diligent Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
ML Engineer, Manipulation
Diligent Robotics · Anywhere in the US
Pay
$135k–270k
Setting
Remote
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ML Engineer, Manipulation
Anywhere in the US
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What we’re doing isn’t easy, but nothing worth doing ever is.
We envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven team as we build out current and future generations of robots.
As an ML Engineer, Manipulation, you will develop and deploy learning-based manipulation systems that enable mobile robots to interact reliably with the physical world in dynamic human environments. You’ll build perception-to-action models, training datasets, evaluation tooling, and deployment pipelines that improve robustness, generalization, and safety for real-world manipulation tasks at scale. Your work will directly impact the robot’s ability to perform complex interactions consistently across real sites with minimal special-case engineering.
Responsibilities
Develop learning-based manipulation models for end to end sensor-driven interaction (e.g., reaching, motion generation, and execution in dynamic environments).
Build and maintain manipulation training pipelines: dataset creation from robot logs/teleop, action representations, augmentation, and distributed training.
Design evaluation metrics and regression tests that quantify manipulation reliability, recovery behavior, and safety in real environments.
Develop sim-to-real workflows for manipulation learning, including simulation environments, domain randomization, and failure-mode testing.
Optimize and distill models for edge deployment; benchmark latency, memory use, and stability on target hardware.
Partner with the AI platform team to integrate policies with control and safety systems, and validate end-to-end performance on robots.
Analyze field performance, identify dominant failure modes, and drive iterative improvements through data collection and targeted retraining.
Basic Qualifications
Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus).
3+ years of experience applying ML to robotics manipulation, visuomotor control, or sequential to sequence models.
Strong proficiency in PyTorch and experience building reliable training/evaluation pipelines.
Strong software engineering skills in Python; ability to collaborate across ML and robotics teams.
Preferred Qualifications
Experience with Vision-Language-Action (VLA) models, behavior cloning, and/or transformer/diffusion policies for robotic control.
Experience with sim-to-real training for manipulation (Isaac Sim/Mujoco or similar), including domain randomization and synthetic data.
Experience deploying ML models to edge hardware (ONNX/TensorRT, quantization, performance profiling).
Familiarity with safety-critical robotics integration and designing fallback/recovery behaviors.
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Describe your experience developing robotic manipulation systems, including dexterous manipulation and grasping, using classical robotics approaches and/or learned policies (e.g. imitation learning, reinforcement learning, diffusion policies, VLA-driven manipulation).*
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Listed by Diligent Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Part Time - Clinical Robot Associate - Columbus, OH (On-Site)
Diligent Robotics · Columbus, Ohio, United States
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Not listed
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On-site
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Part Time - Clinical Robot Associate - Columbus, OH (On-Site)
Columbus, Ohio, United States
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Clinical Robot Associate - Part Time (3, 8-hour shifts per week) - Columbus, OH (on-site)
We envision a future powered by robots that work seamlessly with human teams. We build the artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven, venture-backed team as we build out our customer-facing operations arm.
As part of Diligent Robotics’ founding operations team, you will uphold the highest standards for safe clinical use of robots in real-world hospital environments. Through excellent communication and documentation, you will work alongside the hospital staff and our engineering team while assisting a cutting-edge fleet of robots. As part of the founding team, you will help design and implement processes as the organization scales. Clinical Robot Associates will solve unexpected situations that might arise during a shift, and work effectively as a team to ensure exceptional results to our hospital partners.
This position is located on-site in Columbus, OH and is not a remote role, you must be local to be considered. The position pays $20/hr.
This is not an engineering position and a background in robotics or engineering is not required. If you have ever been an outstanding customer service representative helping busy customers with their needs, you may be a great fit for the role.
Your responsibilities will include:
Monitoring and safely assisting mobile service robots in a hospital environment
Collecting data and troubleshooting in a variety of real-world situations, while simultaneously providing detailed and accurate feedback to our engineers
Prioritizing the customer experience, ensuring their expectations are always met or exceeded
Communicating with hospital staff and, occasionally, the public regarding robot operation
A good candidate would be, at minimum:
A high school graduate or possess a GED
Customer-service oriented: you are friendly, skilled in the art of de-escalation, and an able juggler of customer demands and company needs
An excellent written and verbal communicator: you convey information to internal stakeholders in phone calls and direct messenger
Organized: you can juggle and make progress on multiple tasks simultaneously
Self-sufficient: you get things done, learn what you don’t know, and can make quick decisions independently, as circumstances require
Able to lift up to 40 pounds
Able to work varying shift times including nights and weekends and understanding that your schedule may shift as customer needs change over time
Willing to work during significant holidays: you understand that our customers (i.e. hospitals) don’t shut down during the holidays and neither can our robots
Willing to be vendor credentialed: our customers have strict standards and employment will be dependent on obtaining vendor credentials, the process of which will include various immunizations, a background check, a drug screen, among other steps
The ideal candidate would be:
Extraverted: you can strike up a conversation with anyone and everyone loves your presence
Responsive and responsible: you commit to deadlines, err on the side of over-communication, and understand the challenges of working with some co-workers that may be remote.
Results-oriented: you’re happy to observe and take notes on end users interacting with the robot all day if that’s what it takes
Passionate about healthcare and technology coming together to help people
Formerly employed in the healthcare space: you have an insider understanding of the vernacular, organizational structure, and operational processes of hospitals
Passionate and clear-eyed when it comes to robots: you understand that there’s a gap between technological reality and media-driven expectations and are excited about the opportunity to move the industry forward by whatever means necessary, even if it isn’t glamorous
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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