Software Engineer - Radar Perception

Software Engineer - Radar Perception

Stuttgart, Baden-Württemberg, Germany

About the Role

We are looking for software engineers with deep expertise in radar sensors and using radars in ML-first perception solutions for autonomous vehicles or mobile robots. You will be an early member of the fast-growing autonomy team in Stuttgart, which means you will have the opportunity to take broad responsibilities and impact the directions of the overall program.

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:

• Integrate data from existing or new radar sensors into our ML networks.
• Utilize the strengths of radar for autonomy stacks: designing the right pre-processing & best model architectures, tuning performance on real data from our data collection & testing fleet, but also our simulation tooling.
• Use and further improve Applied's excellent data, machine learning and simulation tooling.
• Build real autonomy products made for real-world applications, within a fast moving and growing team.

We're Looking For Someone Who Has:

• Deep expertise in understanding radar sensor and how to use them in ADAS/AD.
• 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.

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.