Senior Software Engineer - AV Platform

NVIDIA AI; Santa Clara (CA); Vor Ort; USD 180.000 - 280.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

NVIDIA AI in Santa Clara, CA, is seeking a senior system software engineer to develop a high-performance platform and middleware for autonomous vehicle fleets. You will focus on sensor interaction and scalable data collection, collaborating with hardware and cloud teams to deliver AI-based automotive systems.

The role requires a BS or MS in Computer Science or Electrical Engineering and 12+ years of professional experience, with strong C/C++ skills, RTOS, embedded systems, and CPU/GPU

Qualifikationen

• Requires BS or MS in CS or EE with 12+ years of professional system software experience.
• Proficient in C/C++, with deep knowledge of RTOS, Embedded Systems, and CPU/GPU architectures.
• Experience with ISO 26262 and automotive-grade safety standards is a plus.

Aufgaben

• Develop high-performance platform and middleware software for autonomous vehicle fleets.
• Collaborate with hardware and cloud teams to design AI-based automotive systems.
• Ensure solutions meet power, performance, and functional safety requirements.

Kenntnisse

C++

C

RTOS

Embedded Systems

System Architecture

CPU/GPU Architecture

ISO 26262

Parallel Computing

Multi-computer Architectures

Performance Optimization

Data Collection

Middleware Development

Kernel-space Development

Threading

Ausbildung

BS in Computer Science

MS in Computer Science

BS in Electrical Engineering

MS in Electrical Engineering

Tools

QNX

Linux

Jobbeschreibung

Develop high-performance platform and middleware software for autonomous vehicle fleets, focusing on sensor interaction and scalable data collection. Collaborate with hardware and cloud teams to design AI-based automotive systems that meet power, performance, and functional safety requirements.

Requirements:

Requires a BS or MS in Computer Science or Electrical Engineering with over 12 years of professional experience in system software. Candidates must be proficient in C/C++ and have a deep understanding of RTOS, embedded systems, and CPU/GPU architectures.

Key Skills:

• C++
• C
• QNX
• Linux
• RTOS
• Embedded Systems
• System Architecture
• CPU/GPU Architecture
• ISO 26262
• Parallel Computing
• Multi-computer Architectures
• Performance Optimization
• Data Collection
• Middleware Development
• Kernel-space Development
• Threading

Benefits:

• Equity
• Benefits