Senior Software Engineer – Parking for Autonomous Vehicles

Job not on LinkedIn

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Integrate and adapt NVIDIA DRIVE parking software on customer development and production vehicles. • Work on vehicle bring-up, software flashing, data logging, testing and functional validation. • Triage and analyze issues across the parking chain, from sensor input through perception and fusion to maneuver behavior. • Collaborate with customer teams and NVIDIA engineering teams across Europe, the US, APAC, and India to identify root causes, deliver program-level solutions, and drive longer-term product corrections. • Configure and tune parking software for different vehicle platforms, sensor configurations, vehicle geometries, and low-speed maneuvering requirements. • Debug fusion and environment-modeling behavior that combines sensor and neural-network outputs into a consistent and temporally stable representation of the vehicle surroundings. • Implement targeted C++ or Python adaptations, debugging tools, and analysis workflows where needed to resolve customer integration and functional issues. • Measure functional performance through recorded-data replay and in-vehicle testing, and communicate findings clearly to customers and NVIDIA engineering teams.

🎯 Requirements

• Strong background in ADAS software development and triage, with at least 8+ years of experience including in-vehicle activities. • Strong programming skills in modern C++ and Python. • Proficiency in Linux or QNX-based embedded environments. • Demonstrated ability to systematically isolate system-level issues through log analysis, recorded-data replay and in-vehicle testing, and drive them to resolution across multiple engineering teams. • Clear technical communication with customers and distributed engineering teams, including the ability to explain findings, tradeoffs and next steps. • BS/MS in Computer Science, Electrical Engineering, Robotics or Automotive Engineering, or equivalent practical experience. • Comfort working in a customer-facing field environment where priorities may be driven by vehicle availability, integration milestones and production-program needs. • Valid driver's license and readiness for vehicle testing and international travel. • Experience with parking or low-speed maneuvering software, or closely related perception, fusion or environment modeling work. • Production experience with camera- and ultrasonic-based parking or low-speed assistance systems. • Experience integrating ADAS software into customer vehicle platforms and supporting automotive series programs. • Practical experience turning sensor and perception outputs into usable results through fusion, tracking, filtering or temporal association. • Experience with data-driven development loops, including fleet-data triage, corner-case analysis and feedback to model-training teams. • Hands-on experience with AI/ML workflows and deep neural network development or integration — e.g., in perception tasks such as object detection, segmentation, or depth estimation.

🏖️ Benefits

• NVIDIA offers competitive compensation and benefits.