Machine Learning Software Engineer Stuttgart Stuttgart

Applied Intuition Inc.

Stuttgart

Vor Ort

EUR 90.000 - 120.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

30 days vacation
Lunch and dinner budgets (€19)
Learning & development budget (€965)
Fitness budget (€580)
Wellpass membership
Deutschlandticket contribution
Parental leave

Zusammenfassung

Applied Intuition is hiring software engineers focused on ML-first perception, prediction or planning for autonomous vehicles. You will build out ML capabilities in the stack and contribute to the autonomy product line while collaborating with a customer-focused team.

The role emphasizes hands-on engineering, fast delivery, and leveraging existing tools to scale ML development across real-world autonomous systems at our Stuttgart office.

Qualifikationen

  • Experience with end-to-end DL model development lifecycle.
  • Fluency in C++ or Python with C++ experience.
  • Experience with production ML and DL perception algorithms for autonomous vehicles.

Aufgaben

  • Design and implement capabilities for cutting-edge real-world perception or planning/prediction systems.
  • Leverage Applied Intuition products to build the ML infrastructure for developments.

Kenntnisse

End-to-end DL model development
Modeling
Data pipelines
Evaluation
Deployment
Model optimization
Production software
C++ fluency
Python w/C++
ML frameworks
Autonomous vehicle ML

Ausbildung

MSc or PhD in ML (perception/prediction/planning)

Tools

PyTorch
TensorFlow
CUDA

Jobbeschreibung

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

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.

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
We're 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:
  • 30 days of paid vacation per year
  • Daily meal benefits: €19 lunch budget and €19 dinner budget, free breakfast, snacks, and drinks in the office
  • You’ll receive €965 annual learning & development and €580 annual fitness budget
  • Subsidized Wellpass membership, giving you access to thousands of gyms, studios, and wellness facilities across Germany
  • €25 monthly contribution to your Deutschlandticket for regional public transport across Germany
  • Generous parental leave: on top of statutory parental leave

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.

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.

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