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 are looking for an experienced Senior Engineering Manager to manage our Perception team. As an integral part of our team, you'll spearhead the development team responsible for the implementation of cutting-edge motion planning, localization, and control algorithms tailored for industrial robotic manipulators. Your primary focus will be to lead a highly motivated group of machine learning, computer vision, and AI engineers and researchers to design and apply machine learning algorithms for improving robotic intelligence.

What You’ll Do

• Be a hands-on leader to mentor the team in the latest machine learning and deep reinforcement learning approaches, and to introduce new technologies and processes
• Partner with a cross-functional team of Hardware engineers, Software engineers, and Product managers to deliver a product our customers love
• Work with CV and ML engineers to accelerate the learning cycle through advanced research and the development of a scalable machine learning system and neural network
• Create and apply new approaches to solve computer vision problems in image and 3D data domains, signal processing, reinforcement learning, offline and online motor control, and path planning.
• Drive research projects from start to completion, including conception, problem definition, testing hypotheses, iteration, and finally publication or deployment
• Develop the AI/ML roadmap and stay up-to-date with new research and novel findings in machine learning 
• Nurture a strong engineering culture, responsible for delivering creative and scalable solutions

Who You Are

• Ability to lead others and motivate with a positive and confident personal style and history of developing engineers to use their strengths
• Advanced degree in Computer Science, Mathematics, Statistics, or equivalent years of experience
• Practical experience in MLOps, including a comprehensive understanding of the CI/CD process for efficient AI model development and deployment
• Architecture knowledge and experience with LLMs such as BERT, GPT, T5, etc
• Strong experience in application development including Python or C++
• Strong experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• Hands on experience in machine learning, deep reinforcement learning, and high performance computing spanning hardware and software
• Proven experience with machine learning approaches and algorithms including experience with frameworks such as Tensorflow, Theano, PyTorch, or similar
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Excited by the opportunity to be a part of a venture-backed startup early on, where your work will have an immediate and direct impact
• Passionate about what you do and enjoy working in a collaborative environment

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.

Why You'll Love It Here

• Free lunch every day
• Flexible PTO
• Medical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents on select plans
• 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