Autonomy Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

You will...

• Contribute to the autonomy stack for self-driving initiatives by bringing innovative state-of-the-art deep learning models that will enable safe self-driving at scale.
• Work on a number of end-to-end autonomy engineering tasks from conceptualization, design, implementation to validation as it relates to cutting-edge algorithmic solutions used to make self-driving a reality. This encompasses core areas of autonomy stack (i.e., prediction, perception, motion planning and control).
• Develop in-depth understanding of deep learning models and algorithms and contribute to optimizing their training protocols, test-time performance, runtime, memory footprint, as well as power consumption. 
• Identify, propose and build infrastructure, data and efficient pipelines, data storage strategies, common libraries and useful tools needed to improve research and development of deep-learning models.
• Design and implement tools for automated model tuning and hyper-parameter optimization, as well as experiment analysis.
• Research, validate and incorporate emerging machine learning and research infrastructures, tools, and technologies.

Qualifications:

• MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
• Solid knowledge in performance evaluation and optimization of deep learning or computational science algorithms in the areas of GPU kernel development and optimization.
• Experience with parameter and architecture tuning of deep learning algorithms.
• Solid coding knowledge of Python and C++ internals including scientific computing libraries.
• Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.
• Demonstrable track-record of learning and deep-diving as needed into complex existing and new technologies within autonomy systems (i.e., perception, prediction, motion planning and control).
• Open-minded and collaborative team player with the willingness to help others.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
• Experience in TensorFlow or PyTorch.

Bonus/nice to have:

• Experience in CUDA, OpenCL, etc.
• Familiarity with considerations related to sensor data (e.g., RGB, LiDAR) such as calibration, data capturing, noise sources, transformations, etc.
• Experience with automated testing.
• Experience working in an Agile/Scrum environment
• Experience in one or more of the following: TensorFlow and PyTorch.

  Perks/Benefits:

• Competitive compensation and equity awards.
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
• Unlimited Vacation.
• Flexible hours and Work from Home support.
• Daily drinks, snacks and catered meals (when in office).
• Regularly scheduled team building activities and social events both on-site, off-site & virtually.
• As we grow, this list continues to evolve!