Senior Applications Software Engineer, Perception and Sensor Fusion

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $197k
This role $197k
$141k most similar roles pay here $252k

This role pays more than 50% of similar roles. Most pay $171,750–$222,000 — the shaded band above. At the midpoint, this role pays about $197k versus about $197k for comparable roles.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 892 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 870 roles with salary data.

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At a glance

TL;DR · Senior Applications Software Engineer, Perception and Sensor Fusion

As a Senior Applications Software Engineer, Perception and Sensor Fusion on the Solutions Engineering team, you will shape application architecture while collaborating with internal teams and external partners to develop autonomous vehicle solutions. You will be responsible for integrating and tuning perception and sensor fusion components within target vehicles to meet specific driving performance goals. Your daily work involves leading bring-up activities, providing technical support for functional issues, and performing in-vehicle and simulation test drives to analyze recorded data. You will also partner with others to integrate hardware and software components while profiling performance and identifying bottlenecks. The role requires expertise in C++, Python, and deep learning-based perception across camera, lidar, ultrasonic, and radar modalities. Relevant experience includes sensor processing pipelines, data flywheel systems, and potentially CUDA programming or QNX real-time operating systems.

What you'll do

  • Shape application architecture with a focus on perception and sensor fusion systems.
  • Integrate and tune NVIDIA solutions in target vehicles to meet specific driving performance goals.
  • Lead bring-up activities and provide technical support for functional and sensor fusion issues.
  • Perform in-vehicle and simulation test drives to analyze recorded data for performance.
  • Partner with external stakeholders to integrate hardware/software components and identify system bottlenecks.
  • Profile and optimize system performance across various hardware and software components.
  • Deploy autonomous vehicle solutions to customers across global engineering locations.

What we're looking for

  • 5+ years of work related experience in software development for deep learning and/or autonomous driving technologies.
  • Experience developing and deploying deep learning-based perception solutions across camera, lidar, ultrasonic, and radar modalities.
  • Familiarity with data flywheel for scaling deep learning-based perception solutions.
  • Solid grasp of sensor processing pipelines and their lifecycle.
  • BS/MS in computer science, robotics, electrical engineering, or a related technical field (or equivalent experience).
  • Excellent C/C++ development skills with good knowledge of Python.
  • Experience with automotive design processes and standards such as ISO 26262, ISO 21448, or ASPICE (preferred).
  • Familiarity with NVIDIA DRIVE platform, GPU hardware, CUDA programming, or QNX RTOS (preferred).

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