Applied Intuition

Software Engineer - Autonomy Tooling

Applied Intuition$189K — $232K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or equivalent
  • Minimum 2 years of software engineering experience in the automotive sector
  • Proficient in ROS, C++, and Python for software development

Responsibilities

  • Analyze user needs and software requirements for feasible design solutions
  • Design, develop, and modify software specifications and performance standards
  • Participate fully in the software development lifecycle from design to testing
  • Develop and direct validation procedures and documentation for software systems
  • Collaborate across various domains including infrastructure, robotics, and graphics engineering
  • Optimize cloud computing infrastructure and storage costs
  • Create innovative features for simulation products
  • Enhance backend software performance integrating machine learning advancements

Benefits

  • Access to cutting-edge technology and tools
  • Collaborative environment with domain experts
  • Opportunities for professional growth within the autonomy sector
  • Flexible work arrangements to support work-life balance
  • Potential involvement in pioneering solutions for industry challenges
Full Job Description
About the role
  • Analyze user needs and software requirements, develop solutions, and determine feasibility of design within time and cost constraints;
  • Design, develop, modify software specifications and determine performance standards;
  • Develop scalable applications and participate in all aspects of software development including design, implementation, and testing;
  • Develop or direct software system testing or validation procedures, programming, or documentation and architect solutions to any bottlenecks that are encountered;
  • Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows;
  • Build out infrastructure initiatives, optimize our cloud computer and storage costs, and help design new cloud projects;
  • Confer with domain experts across a variety of fields such as infrastructure, robotics, and graphics engineers, as well as startup veterans, in order to design software and to obtain information on project limitations and capabilities, performance requirements and interfaces;
  • Prepare reports or correspondence concerning project specifications, activities, or status; and
  • Work on world-class solutions to the autonomy industry's leading infrastructure problems.
  • Create new features for our simulation products.
  • Work to improve the core backend software of our simulation products, such as ML Sim Agent integration into tooling closed loop evaluation pipeline and ML Sim Agent model's performance improvement.

We're looking for someone who has:
  • Must have a minimum of a Bachelor's Degree in Computer Science, Electrical Engineering, or Mechanical Engineering, or foreign equivalent
  • At least 2 years of experience as a Software Engineer with an automotive company
  • At least 2 years of experience using ROS, C++, and Python

The salary range for this position is $189,700 - $232,925 per year USD annually.

Please apply on this page https://tinyurl.com/AppliedJob47.

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Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

About Applied Intuition

Applied Intuition is a software company that provides a simulation platform for autonomous vehicles. The platform allows developers to test and validate their autonomous vehicle software in a virtual environment before deploying it on real vehicles. Applied Intuition was founded in 2017 and is headquartered in Mountain View, California.
Learn more about Applied Intuition
Size
200 employees
Industry
Founded
2017

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