Stack AVSA

Staff Software Engineer, Motion Planning ML

Stack AV develops and builds autonomous trucking solutions to improve the safety and efficiency of modern freight and supply chain systems.

Stack AV

Employee count: 51-200

United States only

About Stack:

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

About the Team

We are looking for strong software engineers with motion planning and/or machine learning experience to help in developing and deploying motion planning components for next generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, improve, and field state-of-the-art motion planning algorithms and systems in real-time, safety-critical applications. We are focused on building a product. Candidates should have a mission-driven mindset and customer-centric obsession to deliver a compelling product, and be able to work with significant cross-functional interactions.

What Success Looks Like

Responsibilities:

  • Own delivery of motion planning modules that solve on-vehicle problems and deliver for customer needs - meeting product requirements and meeting the needs of the controls system, providing a safe, smooth trajectory for the system to follow.
  • Design, scope, implement, and integrate machine learning or classical systems to solve on-vehicle behavior problems in a real-time, resource-constrained environment.
  • Provide input in the technical direction for the team, and work cross-functionally to develop safe systems. This will include working closely with other teams such as perception, localization, and controls to ensure that the input to the motion planning modules is appropriate.
  • Work closely with systems engineers to ensure a safe, well tested product is delivered.
  • Work closely with verification teams to ensure proper testing and validation of the motion planning modules. Make extensive use of unit testing, simulation, and log simulation to properly validate their work.
  • Spend time on the vehicles to experience in person the efforts being worked.
  • Provide input to team roadmaps and ensure product features are properly prioritized.
  • Identify bottlenecks and limitations in system performance, and develop novel motion planning components to unlock new capabilities and ensure a reliable system.
  • Be involved in experimentation, design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.

Experience:

  • Experience building motion planning systems for real world applications with a strong understanding of the pros and cons of various approaches.
  • Knowledge and experience with real-time algorithms.
  • Strong experience in software engineering and algorithm design.
  • Fluent in C++ and Python.
  • Experience architecting, training, and deploying machine learned models. Specific areas of focus: Scene-level behavior prediction models a plus.
  • Experience with standard ML toolchain (PyTorch / TensorFlow, training framework, experiment managers, distributed training, ONNX / TensorRT) a plus.

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Stack AV

Learn more about Stack AV and their company culture.

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Born from the collective vision of seasoned leaders in robotics and artificial intelligence, Stack AV embarked on its journey in 2023 with a clear mission: to revolutionize the trucking industry. The company's genesis lies in the extensive experience of its founders, Bryan Salesky (CEO), Peter Rander (President), and Brett Browning (CTO), who previously helmed Argo AI, a notable venture in autonomous passenger vehicle technology. Recognizing the evolving demands of global commerce and the critical need for more intelligent and reliable supply chains, they pivoted their focus to autonomous trucking, an area ripe for transformative innovation. With substantial backing from SoftBank Group Corp., Stack AV was launched with the capital, resources, and deep AI expertise necessary to accelerate its ambitious growth and technological development. Headquartered in Pittsburgh, Pennsylvania, a burgeoning hub for robotics and AI, Stack AV quickly assembled a team of 150 experts across its main office and an additional 15 states, leveraging an innovative remote-work and co-working collaboration model.

Stack AV's core philosophy centers on addressing the long-standing challenges that have plagued the trucking industry. These include persistent driver shortages, inefficiencies in vehicle uptime, significant safety concerns, high operational costs, and the environmental impact of emissions. By developing and deploying sophisticated AI-powered autonomous driving systems, the company aims to create safer, more efficient, and more reliable freight transportation. Their proprietary technology, coupled with a rigorous approach to safe systems design and testing, is engineered to maximize truck uptime, optimize existing infrastructure, and significantly improve roadway safety. This commitment extends to creating smarter supply chains for their partners, enabling them to deliver goods to consumers faster and more securely. The leadership team's combined seven decades of experience in developing complex, autonomy-enabled systems provides a strong foundation for tackling the unique demands of the trucking industry and driving it towards a more technologically advanced and sustainable future.

Employee benefits

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Life Insurance

Employer-paid life insurance benefits.

Flexible Work Modes

Stack AV has an innovative remote-work/co-working collaboration model.

401k

We invest in your future by providing a competitive 401k program and match.

Disability Insurance

Long-Term Disability (LTD) insurance with options for taxable or tax-free benefits.

View Stack AV's employee benefits
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Stack AV hiring Staff Software Engineer, Motion Planning ML • Remote (Work from Home) | Himalayas