Staff Software Engineer Mountain View, California, United States Apply

Applied Intuition Inc.; Mountain View (CA); On-site; USD 230,000 - 323,000; Full time

Job summary

A leading vehicle intelligence company is seeking a Staff Software Engineer to design and implement complex solutions for autonomy development. The role involves working across various tech stacks and influencing technical strategies. Ideal candidates will have extensive experience in software development, particularly in languages like C++, Python, and more. This position offers a comprehensive compensation package, including a competitive salary of $230,000 - $323,000 annually.

Benefits

Equity options

Comprehensive health, dental, vision insurance

401k retirement benefits with employer match

Learning and wellness stipends

Paid time off

Qualifications

• 7-10+ years of experience in shipping complex software.
• Proven experience designing and implementing solutions to complex architectural problems.
• Experience mentoring software engineers.

Responsibilities

• Work across the entire stack to develop new products, features, and tools.
• Identify and scope complex engineering challenges, design solutions, lead implementation.
• Influence technical strategy of the team while balancing features and technical debt.

Skills

C++

Python

TypeScript

Golang

Mentoring

Tools

React

GraphQL

Docker

Kubernetes

ROS

Job description

Mountain View, California, United States

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)

About the role

We are looking for staff software engineers interested in designing elegant solutions for difficult problems in the autonomy space. Our software engineers work across our suite of products, tackling difficult full-stack, infrastructure, robotics, and graphics problems. At Applied Intuition, we encourage engineers to take ownership of technical and product decisions, interact closely with users to collect feedback and contribute to a thoughtful, dynamic team culture.

At Applied Intuition, you will:

• Work across our entire stack to develop new products, features, and tools for our customers\' autonomy development workflows
• Identify and scope complex engineering challenges, design elegant solutions, and lead implementation across teams.
• Influence the technical strategy of the team when balancing work on new features, scaling challenges, and technical debt.
• Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans

We\'re looking for someone who has:

• 7-10+ years of experience in shipping complex software
• Proven experience designing and implementing solutions to complex architectural problems
• Production experience writing in C++, Python, TypeScript, or Golang
• Experience mentoring software engineers

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
• Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is:$ 230,000 - $323,000 USD annually.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.