Machine Learning Software Engineer - Perception

Applied Intuition; Stuttgart; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading vehicle intelligence company located in Stuttgart is seeking a Software Engineer with expertise in ML for autonomous vehicles. The ideal candidate will design and implement key capabilities, working within a fast-paced team to drive innovation. A strong background in programming and production software is essential, along with 3 years of experience. The company offers benefits including allowances, stipends, and stock options.

Leistungen

Lunch and dinner allowance

Fitness stipend

Learning stipend

Stock options

Qualifikationen

• 3 years of experience building production software using modern software practices.
• Experience with the end‑to‑end development cycle of deep learning models.
• Fluency in C or fluency in Python with intermediate experience in C.

Aufgaben

• Design and implement capabilities for real‑world perception or planning.
• Build software and infrastructure foundation for ML developments.

Kenntnisse

Machine Learning

C programming

Python

Deep Learning

Production software development

Ausbildung

MSc or PhD in machine learning or related field

Tools

TensorFlow

PyTorch

Jobbeschreibung

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe AI‑driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round Applied Intuition delivers the Vehicle OS Self‑Driving System and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuitions 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, Bangalore, Seoul and Tokyo. Learn more at .

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 software engineers with expertise in ML‑first perception prediction or planning for autonomous vehicles or mobile robots. Your contributions will focus on building out key ML capabilities of an autonomous vehicle stack.

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 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!

At Applied Intuition you will :

• Design and implement capabilities and workflows for cutting‑edge real‑world perception or planning / prediction systems
• Leverage established products at Applied Intuition to build the software and infrastructure foundation for our ML developments

Were looking for someone who has :

• Experience with the end‑to‑end development cycle of deep learning models
• Expertise in subdomains such as modeling input pipelines, evaluation, deployment and model optimization
• 3 years of experience building production software using modern software practices
• Fluency in C or fluency in Python with intermediate experience in C
• 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 machine learning ideally applied to perception prediction, planning or closely related field
• Experience building and shipping software frameworks or tools
• Experience with driver assistance or autonomous driving systems
• Experience in evaluating and improving system‑in‑the‑loop model performance
• Deep hands‑on expertise in relevant algorithms or methods such as non‑linear optimization, computational geometry, numerical analysis or distributed systems

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1000 USD) annually
• Stock options

Dont meet every single requirement If youre excited about this role but your past experience doesnt 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.

Key Skills

• Industrial Maintenance
• Machining
• Mechanical Knowledge
• CNC
• Precision Measuring Instruments
• Schematics
• Maintenance
• Hydraulics
• Plastics Injection Molding
• Programmable Logic Controllers
• Manufacturing
• Troubleshooting

Employment Type : Full Time

Experience : years

Vacancy : 1

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.