Distinguished Engineer
Data Science & Machine Learning
Posted on 8/25/2023
Torc Robotics

501-1,000 employees

Self-driving software
Company Overview
Torc Robotics’ mission is simple: to save lives. The company is committed to commercializing self-driving technology to make the world a safer place. Moreover, Torc Robotics is creating commercialization-ready autonomous solutions, proven safe and carefully crafted to meet real industry goals.
Robotics & Automation
Industrial & Manufacturing
AI & Machine Learning

Company Stage


Total Funding





Blacksburg, Virginia

Growth & Insights

6 month growth


1 year growth


2 year growth

Remote in USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data & Analytics
  • Bachelor's degree in engineering or equivalent in a related field, master's degree preferred
  • 10+ years of progressive professional experience in data engineering, cloud-based data technology, data visualization tooling, machine learning and statistical analytics
  • 10+ years of experience directing strategy of a technology industry and collaborating with other strategic partners, internal and external stakeholders
  • Demonstrated experience creating and implementing successful strategic plans at scale
  • Highly analytical with ability to research and translate market trends and competitive intelligence to make successful recommendations
  • Proven ability to influence leadership executives, board, owners, and other strategic partners
  • Naturally inquisitive, visionary thinker and excellent strategic problem solver. Able to dissect complex problems, make appropriate tradeoffs, and develop thoughtful recommendations
  • Must possess a passion and the ability to develop and grow colleagues to their highest potential
  • Excellent interpersonal, verbal, and written communication skills to build trust and strong working relationships, effectively create and proofread documents and reports, and communicate to a diverse workforce
  • Critical/logical thinking to identify problems and provide solutions to ensure efficiency, safety, and quality
  • Ability to ethically handle sensitive and confidential information with impartiality and professionalism
  • Requires transportation to locations away from the site. Valid US Driver's license with a safe driving record required. May travel occasionally to other states. May have the opportunity for international travel requiring the ability to obtain a passport and appropriate documents
  • Work with large-scale data sets and processing pipelines that use state-of-the-art technologies and best practices
  • Collaborate across all areas of the organization to understand and generate data-driven business requirements
  • Provide technical leadership and guidance to engineering teams in the department promoting best practices, and ensuring adherence to coding standards and architectural principles
  • Identify trends and patterns to inform business decisions, improve operational efficiency and refine system requirements
  • Contribute to various levels of the data processing pipeline to include deep neural net frameworks, data annotation, synthetic data generation, and third-party data integration
  • Provide mentorship and guidance to next-level engineers, and below, assisting in their technical growth and fostering a culture of learning and development within the department
  • Work collaboratively in Torc's Principal Community and engineering leaders to mature a technical vision across the engineering division and drive technical direction into engineering departments
  • Be a thought leader for the continuous improvement of data practices throughout the organization
  • Stay up to date with the latest industry trends, technologies, and best practices for potential integration with existing solutions
  • Participate in project planning and collaborate with technical product managers on the priorities and customer expectations of the proposed software solutions
Desired Qualifications
  • Master's degree or PhD in a relevant field
  • Broad, deep, and current knowledge of autonomous vehicle industry