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PhD Research Intern

4 weeks ago

Pittsburgh PA USA, United States Stack AV Full time
About Stack AV

Stack AV is a revolutionary company developing cutting-edge AI and autonomous systems to enhance safety, reliability, and efficiency in modern operations. Our technology incorporates advancements in artificial intelligence, robotics, machine learning, and cloud technologies to create innovative solutions for the trucking industry.

Internship Program

We are seeking highly motivated PhD students to join our team as research interns. As an early-stage startup, we expect our interns to be an integral part of the team, working on robotics research projects that directly impact our product. You will have opportunities for collaboration and mentorship with industry leaders to accelerate your career and research goals.

Research Areas

Our research areas include:

  • Optimized Traffic/Actor Generation - Work with adjacent systems and safety teams to understand the operating environment for an AV and develop scenarios with generated actors to fully cover the possible AV-actor interactions.
  • Sensor Simulation - Novel View Generation - Develop methods to work with sensor data from logs to generate novel views that can be used to output altered sensor data from nearby but previously untraveled vehicle positions.
  • Sensor Simulation - Sensors From Scene Data - Develop methods to utilize intermediate system outputs such as mapping information, lane lines, actor information, and obstacle information to generate corresponding synthetic sensor data such as camera imagery and LIDAR points.
  • Scene Prediction - Work with existing datasets to predict joint future trajectories for all actors in a scene in order to understand driving dynamics and guide AV behavior in reaction to agent predictions.
Requirements

We are looking for students with the following skills and experiences:

  • Python and C++ programming languages
  • Simulation tooling execution and development
  • Machine learning / Reinforcement learning experience
  • Sensor generation and transformation experience (camera, LIDAR)
  • Cross-functional communication skills
  • Software engineering best practices
  • Test-driven development experience
About the Team

The Autonomy Evaluation Team is a group of specialized engineers dedicated to developing simulation tools and metrics pipelines. The Decision Making Machine Learning team is responsible for designing, building, and deploying machine learning systems within our prediction and motion planning components.

We are proud to be an equal opportunity workplace and 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.