Machine Learning Software Engineer

Decisive Point; Stuttgart; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Lunch and dinner allowance

Fitness stipend (600 USD annually)

Learning stipend (1,000 USD annually)

Stock options

Zusammenfassung

Decisive Point, located in Stuttgart, Germany, is searching for skilled software engineers with expertise in machine learning for autonomous vehicles. The role involves designing and implementing advanced perception systems and building the software infrastructure necessary for ML capabilities.

Candidates should have at least 3 years of experience in production software development, strong knowledge in C++ or Python, and familiarity with production-level ML algorithms. The company offers benefits such as lunch allowances, fitness and learning stipends, and stock options.

Qualifikationen

• Experience in subdomains like modeling, input pipelines, evaluation, deployment, and optimization.
• 3+ years of experience in production software development using modern practices.
• Deep understanding of relevant frameworks or libraries.

Aufgaben

• Design and implement capabilities for ML perception and planning systems.
• Leverage established products to build software and infrastructure for ML developments.

Kenntnisse

End-to-end development of deep learning models

C++ fluency

Experience with ML/DL perception algorithms

Python with intermediate C++

Ausbildung

MSc or PhD in machine learning or related field

Jobbeschreibung

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.

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 and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually
• Stock options

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 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.