Design, implement, and validate 2D/3D computer vision algorithms; port research to production interfacing with depth sensors; optimize real-time perception for manufacturing; lead code quality and reviews; perform hands-on field validation and troubleshooting.
At Liberty Robotics, we provide 3D volumetric vision guidance systems for robot applications. Our systems improve manufacturing, material/part handling, and logistics operations performed in industrial environments. We are looking for highly qualified applicants to join our core Technology Research team. We drive to inspire like-minded individuals who envision a future where manufacturing assembly and material handling processes are faster, safer, and more reliable.
We recently joined LMI Technologies, recognized as one of Canada’s Best Workplaces. Together, our teams work passionately toward the common goal of designing and delivering innovative 3D machine vision solutions to OEMs and System Integrators working in industrial factory automation around the world.
We are seeking an analytical and technically mature Software Engineer III to join our core team. Collaborating in a fast-paced environment alongside dedicated researchers and engineers, you will serve as a high-visibility individual contributor with complete, end-to-end software ownership.
This stable, core role is designed for a self-starting engineer who can seamlessly bridge the gap between high-level mathematical research and production-grade code. In this position, you will be responsible for taking advanced algorithmic concepts out of a clean simulation environment and successfully deploying them onto a loud, unpredictable manufacturing floor.
Typical Duties, Activities, Responsibilities
We recently joined LMI Technologies, recognized as one of Canada’s Best Workplaces. Together, our teams work passionately toward the common goal of designing and delivering innovative 3D machine vision solutions to OEMs and System Integrators working in industrial factory automation around the world.
We are seeking an analytical and technically mature Software Engineer III to join our core team. Collaborating in a fast-paced environment alongside dedicated researchers and engineers, you will serve as a high-visibility individual contributor with complete, end-to-end software ownership.
This stable, core role is designed for a self-starting engineer who can seamlessly bridge the gap between high-level mathematical research and production-grade code. In this position, you will be responsible for taking advanced algorithmic concepts out of a clean simulation environment and successfully deploying them onto a loud, unpredictable manufacturing floor.
Typical Duties, Activities, Responsibilities
- Algorithmic Design & Validation: Formulate, implement, and validate advanced 2D and 3D computer vision pipelines from mathematical first principles.
- Transitioning Lab to Field: Port, optimize, and deploy production-quality code that interfaces with physical depth sensors, ensuring real-time control loops remain deterministic and lag-free.
- Strategic R&D Decision Making: Evaluate system architectures to intelligently determine when to leverage classical image processing workflows versus modern deep learning models to eliminate operational latencies.
- Technical Ownership & Code Quality: Champion software development best practices by leading meticulous peer code reviews, refactoring legacy components, and managing complex multi-codebase integrations.
- Hands-on Validation: Collaboratively troubleshoot and fine-tune your vision pipelines live on physical hardware and prototype configurations.
- Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related technical field.
- Spatial Mathematics: Solid foundational understanding of linear algebra, geometry, coordinate systems, and rigid-body transformations.
- 3D Perception Stack: Hands-on experience with 3D computer vision and perception algorithms, including point cloud processing, 3D registration, pose estimation, object detection, object fitting, reconstruction, and related techniques.
- 2D Image Processing: Experience with 2D image processing and computer vision methods, including image filtering, feature extraction, segmentation, object detection, image registration, and morphological operations.
- Software Development: Industry experience developing software, algorithms, or perception systems for real-world applications.
- Analytical Rigor: Strong analytical and problem-solving skills, with the ability to develop and validate algorithms.
- Production Coding: Demonstrated ability to write efficient, maintainable, and production-quality software in C++ and/or Python.
- Field Commitments: Willingness to travel to customer and OEM installation sites (approximately 1 week out of 10) to perform live field validations on active machinery.
- Professional Tenure: Extensive career background comprising 5 to 10 years of focused technical expertise in 3D perception and image processing stacks.
- Advanced Degree: M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field.
- Domain Expertise: Professional background within the Logistics or Automotive industry.
- Imaging & Optics: Understanding of camera and imaging systems, including camera calibration, pinhole camera models, stereo vision, and depth sensing technologies.
- Mathematical Optimization: Background in linear and nonlinear optimization, with practical experience applying optimization techniques to computer vision, robotics, or perception problems.
- Advanced AI Evaluation: Knowledge of machine learning and deep learning techniques, including CNNs, Transformers, foundation models, multimodal learning, pre-training, fine-tuning, and model deployment, paired with the ability to evaluate the strengths and limitations of modern AI approaches.
- Hardware Acceleration: GPU programming experience (e.g., CUDA, OpenCL, or related frameworks) is a plus.
- Engineering Best Practices: Familiarity with software development best practices, including version control, testing, code reviews, and continuous integration.
- Location Priority: Candidates located in, or willing to relocate to, the Ann Arbor, Michigan area are preferred.
- Location: Fully on-site at our technology hub in the Ann Arbor/Dexter, Michigan area.
- Environment: A collaborative, innovative, and cubicle-free R&D laboratory designed for engineers who perform at their best under high personal accountability rather than heavy supervision.
- Compensation: We offer competitive salary + Eligibility for Profit Sharing Program Participation (pending successful completion of probationary period and based on business performance).
- Health Benefits: Your health and wellness are vital to the success of Liberty Robotics, and our benefit plans provide an important foundation of stability to you and your family. We are proud to provide the following benefits to our employees: Medical and Prescription Drug, Dental, Vision, Basic Life and Accidental Death & Dismemberment (AD&D) Insurance, Short-Term Disability, Long-Term Disability, Employee Assistance Program, Travel Assistance, and Will Prep.
- Growth & Development: An annual Education Support Program for training and professional growth, plus annual performance reviews.
- Enjoy free snacks and drinks, team-building events, tenure awards, and our official "May the 4th" (Star Wars Day) company holiday!
- Please note that financial relocation assistance and immigration sponsorship are not available for this position.
- We are recognized as a “Great Place to Work” for 10 consecutive years!
- While we appreciate your interest in Liberty Robotics and LMI Technologies very much, we may only be able to respond to candidates selected for further consideration.
- We believe in a transparent and collaborative hiring journey. Our goal is to ensure you are as excited about us as we are about you. Below is the typical path (can vary by position):
- Talent Discovery (Human Resources): An initial screening call focused on your professional background, language and communication proficiency, and cultural alignment with the team as well as overview of role and company.
- Technical Assessment!
- Role Fit (Hiring Manager): A deep dive into your experience, knowledge and skills as well as sharing of role expectations and team initiatives:
- 1st Round: General background and foundational knowledge in areas such as mathematics, image processing, and programming.
- 2nd Round: Problem solving skills and ability to apply knowledge to practical challenges.
- Cultural & Peer Alignment (Hiring Team & Stakeholders): A collaborative session with prospective colleagues and cross-functional partners to explore technical synergy, shared experiences, and the professional landscape at Liberty Robotics.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Owns strategic, cross-cutting initiatives for Samsara’s Telematics business, driving commercial impact and identifying adjacent product opportunities. The role involves developing hypotheses and business cases, incubating 0-to-1 or 1-to-10 products, partnering closely with engineering and go-to-market teams, prototyping with AI tools, and validating solutions with customers. This is a hands-on, highly autonomous principal-level individual contributor role focused on B2B SaaS and physical operations.
Top Skills:
Ai ToolsB2B SaasIotTelematicsVehicle Gateway
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own the multi-year vision and end-to-end software install experience for Samsara devices. Drive install correctness metric, design guided install and verification flows in the Samsara Fleet app, build intelligence to verify hardware installs, provide fleet readiness visibility, run customer install observations, and translate findings into roadmap across hardware, firmware, and software.
Fitness • Hardware • Healthtech • Sports • Wearables
Leads global learning strategy and programs across Membership Services, including onboarding, continuing education, product readiness, systems training, and employee development. Manages learning professionals, oversees LMS and learning technology, applies adult learning and instructional design methods, and establishes training quality standards. Uses learning analytics and operational metrics to measure business impact while partnering with Operations, Quality, HR, Product, Technology, and BPO stakeholders to improve employee proficiency and member experience.
Top Skills:
Ai-Powered ToolsLearning AnalyticsLearning Management Systems (Lms)
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
