Autonomy Software Specialist
3 weeks ago
Applied Intuition is a cutting-edge vehicle software supplier accelerating the adoption of safe and intelligent machines worldwide. Founded in 2017, we deliver AI-powered ADAS/AD toolchains, vehicle platforms, and autonomy stacks to help customers speed up time-to-market, build high-quality systems, and create innovative consumer experiences.
SalaryThe estimated annual salary for this role ranges from $133,000 to $162,000 USD, depending on experience, qualifications, and other factors. Compensation includes base salary, equity, and benefits such as comprehensive health insurance, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.
Job DescriptionWe're seeking bright engineers interested in designing elegant solutions to complex problems in the autonomy space. As a software engineer at Applied Intuition, you'll work across our suite of products, tackling full-stack, infrastructure, robotics, and graphics challenges. Our team encourages engineers to take ownership over technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.
- Develop new products, features, and tools for our customers' autonomy development workflows
- Work with domain experts across various fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
- Carve out your own area of expertise and influence product decisions
- Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy
To succeed in this role, you'll need:
- A PhD degree in Computer Science, Mechanical Engineering, or a related technical field
- Software development experience, coding in a general-purpose programming language
- Experience designing efficient and effective solutions to a wide range of engineering challenges
Nice to have:
- Working knowledge of frontend, API layer, database ORM, containerization, or cluster orchestration frameworks (such as React, GraphQL, SQLAlchemy, Docker, or Kubernetes)
- Experience working with simulation tools, modeling physical problems, or using robotics middleware (such as ROS)
- Expertise in methods and tools for engineering design, verification, and validation, or a similar related area
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