ML Perception Software Engineer

Posted 19 Days Ago
Mountain View, CA
Mid level
Automotive
The Role
The ML Perception Software Engineer will design and implement perception capabilities for autonomous vehicles, focusing on machine learning and computer vision techniques. They will collaborate with sensor simulation and infrastructure teams to enhance simulation models and provide enterprise software solutions for engineering teams.
Summary Generated by Built In
About Applied Intuition

Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.

Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week.

[To be updated]

About the role

We are looking for a software engineer with expertise in perception for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of perception modules within an autonomous vehicle stack. You will also drive the design and development of computer vision and machine learning techniques to enable self-driving vehicles to navigate.

 

In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you! 

 

We are hiring for all levels.

At Applied Intuition, you will:

  • Design and implement capabilities and workflows for cutting-edge real-world perception systems
  • Work closely with our sensor simulation team to ensure we build the best range of multi-fidelity simulation models
  • Work closely with our infrastructure team to provide the best enterprise software for engineering, testing, and customer product teams

We're looking for someone who has:

  • Passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
  • 3+ years of experience building software components or (sub) systems that address real-world perception challenges
  • Hands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or algorithmic libraries
  • Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
  • Experience working with production level ML and DL perception algorithms for autonomous vehicles

Nice to have:

  • MSc or PhD in perception or closely related field
  • Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systems
  • Experience building and shipping software frameworks or tools

The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.

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.

Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company's premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. 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.

Top Skills

Computer Vision
Machine Learning
The Company
Sunnyvale, CA
472 Employees
On-site Workplace
Year Founded: 2017

What We Do

As the foremost enabler of autonomous vehicle development, Applied Intuition equips engineering and product teams with software that makes it faster, safer, and easier to bring autonomy to market.
Applied’s suite of products, focused on simulation and analytics, delivers sophisticated infrastructure built for scale. Companies of all sizes use Applied to comprehensively test and rapidly accelerate their autonomous vehicle development.
Headquartered in Silicon Valley with offices in Detroit, Tokyo, and Munich, Applied is composed of software and automotive experts from the top companies in the world (such as Google, Amazon, Apple, Waymo, Tesla, Delphi, GM, and Bosch).

Similar Jobs

BlackLine Logo BlackLine

Senior Database Administrator (FedRamp)

Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Pleasanton, CA, USA
1810 Employees
145K-193K Annually

BlackLine Logo BlackLine

Staff I Systems Engineer (FedRamp)

Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Pleasanton, CA, USA
1810 Employees
160K-213K Annually

BlackLine Logo BlackLine

Staff I Reliability Engineer (FedRamp)

Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Pleasanton, CA, USA
1810 Employees
160K-213K Annually

BlackLine Logo BlackLine

Senior Site Reliability Engineer (FedRamp)

Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Pleasanton, CA, USA
1810 Employees
145K-193K Annually

Similar Companies Hiring

Chamberlain Group Thumbnail
Software • PropTech • Mobile • Internet of Things • Hardware • Automotive • App development
Oak Brook, IL
5637 Employees
Cox Enterprises Thumbnail
Software • Other • Information Technology • Greentech • Cybersecurity • Cloud • Automotive
Atlanta, GA
50000 Employees
UL Solutions Thumbnail
Software • Renewable Energy • Professional Services • Energy • Consulting • Chemical • Automotive
Chicago, IL
15000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account