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Phd In Robotics Salary Jobs in Wisconsin (NOW HIRING)

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a ... The listed base salary range applies to candidates based in the US. Compensation may vary depending ...

Competitive Salary OR Income Guarantee. Production Incentives available. Teaching Hospital ... Interests in robotics, stones, kidney, bladder, prostate issues, BPH, and ureteral reconstruction ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

... expertise in robotics, refrigeration, electrical, plumbing, and welding Train directly with ... Salary and Benefits: Very competitive wages based on previous training and experience. Company ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

... expertise in robotics, refrigeration, electrical, plumbing, and welding Train directly with ... Salary and Benefits: Very competitive wages based on previous training and experience. Company ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

Build expertise in robotics, refrigeration, electrical, plumbing, and welding * Train directly with ... A chance to work with cutting-edge ag technology that keeps America's farms running Salary and ...

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Phd In Robotics Salary information

What is the average salary for someone with a PhD in robotics?

The average salary for individuals with a PhD in Robotics varies depending on the industry, location, and level of experience. In the United States, salaries typically range from $90,000 to $150,000 per year, with higher salaries often found in sectors like technology, manufacturing, and academia. Senior roles in research and development or at leading tech companies may offer even higher compensation. Factors such as geographic location, specific expertise, and employer type can significantly influence the salary range.

What are the key skills and qualifications needed to thrive as a robotics engineer with a PhD, and why are they important?

To excel as a Robotics Engineer with a PhD, you need advanced knowledge in robotics, control systems, artificial intelligence, and a strong academic background typically demonstrated by a doctorate in robotics, computer science, or a related field. Expertise in programming languages (such as Python, C++), simulation tools (like ROS or MATLAB), and experience with hardware prototyping are commonly required technical skills. Exceptional problem-solving, innovation, and teamwork abilities distinguish top performers in this role. These competencies enable the design and implementation of cutting-edge robotic systems, driving progress in research and industry applications.

What is the difference between Phd In Robotics Salary vs Robotics Engineer Salary?

AspectPhd In Robotics SalaryRobotics Engineer Salary
Required CredentialsPhD in Robotics or related fieldBachelor's or Master's in Robotics, Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustrial settings, manufacturing, tech companies
Industry UsageResearch, academia, specialized R&D rolesProduct development, system design, implementation

Typically, individuals with a PhD in Robotics earn higher salaries due to advanced expertise and research experience, often working in research or academic roles. Robotics Engineers usually have a bachelor's or master's degree and focus on practical application and system development, resulting in slightly lower average salaries but broader industry opportunities.

What career advancement opportunities are available for professionals with a PhD in robotics?

Professionals holding a PhD in Robotics often have access to a wide range of career advancement opportunities in both academia and industry. In academia, they can pursue tenure-track faculty positions or lead research labs. In industry, they are well-positioned for senior research scientist, robotics engineer, or leadership roles such as R&D manager or chief technology officer. Additionally, PhD holders may advance by publishing influential research, securing patents, or transitioning into entrepreneurial ventures, such as founding robotics startups.

What are popular job titles related to Phd In Robotics Salary jobs in Wisconsin?

For Phd In Robotics Salary jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Phd In Robotics Salary jobs?

Cities in Wisconsin with the most Phd In Robotics Salary job openings:

Infographic showing various Phd In Robotics Salary job openings in Wisconsin as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Lead Machine Learning Engineer

Serve Robotics

On-site, Remote

$225K - $260K/yr

Full-time

Re-posted 19 days ago


Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
This role develops and scales large-scale machine learning training systems for multimodal robotics data, enabling the creation of high-performance autonomy models. By optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and performance of end-to-end autonomy models and the large-scale data pipelines that support them.
Responsibilities
  • Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets (e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters.
  • Identify and resolve bottlenecks in the training pipeline, including data loading, preprocessing, model computation, and inter-node communication, to maximize GPU utilization and reduce training time.
  • Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks, particularly those handling high-dimensional and sequential sensor data.
  • Create and adjust loss functions and training strategies that help the model learn effectively from complex multimodal inputs and improve autonomy performance.
  • Configure, monitor, and maintain large-scale distributed training jobs across multiple machines and GPUs, ensuring stability, fault tolerance, and efficient resource usage.
  • Implement scalable systems to preprocess, transform, and augment large robotics datasets so that they are suitable for model training.
  • Work closely with ML scientists and other engineers to integrate new models, experiments, and training approaches into the production training pipeline.
  • Analyze training metrics, model outputs, and experiment logs to assess model performance and guide improvements in architecture, data usage, or training strategies.
  • Develop tools and workflows that allow teams to run experiments, track results, and iterate quickly on new model ideas or training approaches.

Qualifications
  • Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline.
  • Minimum of 5 years of professional experience developing, training, and deploying machine learning models in production environments.
  • Hands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with distributed training frameworks and large dataset handling.
  • Strong programming skills in Python for implementing machine learning models, data pipelines, and training workflows.
  • Solid knowledge of core concepts such as neural networks, optimization algorithms, loss functions, model evaluation, and training methodologies.

What Makes You Stand out
  • Experience identifying and resolving training bottlenecks related to compute utilization, memory usage, and data throughput in machine learning systems.
  • Experience training machine learning models on robotics or autonomous driving datasets involving multimodal sensor inputs such as camera video, LiDAR point clouds, radar, or telemetry data.
  • Experience developing models that combine multiple data modalities (e.g., images, point clouds, and structured sensor data) into a unified learning system.
  • Peer-reviewed publications or significant research contributions in machine learning, robotics, or related areas.

*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
  • Canada - ALL: $177k - $215k CAD