Senior Perception & Sensor Fusion Apps Engineer

Emploive; Santa Clara (CA); Hybrid; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA's Solutions Engineering team is shaping the future of autonomous driving by building scalable software for perception, sensor fusion, and integration with partner platforms. You will help craft the application architecture and work closely with external partners and cross-functional teams to deploy robust solutions.

This role emphasizes hands-on problem solving, performance profiling, and real-world validation through in-vehicle tests and simulation, with opportunities to collaborate

Qualifications

• 5+ years of software development experience in deep learning or autonomous driving.
• Experience deploying DL-based perception across cameras, LiDAR, ultrasonics, and radar.
• Familiar with data flywheel for scaling DL-based perception solutions.
• Solid grasp on sensor processing pipelines and their lifecycle.
• BS/MS in computer science, robotics, electrical engineering, or related field.
• Excellent C/C++ development skills with good knowledge of Python.
• Able to adapt to fast paced development lifecycles and multi-functional organizations.
• Strong analytical skills and attention to detail.

Responsibilities

• Shape the application architecture with a focus on perception and sensor fusion, collaborating with architecture and software teams.
• Integrate NVIDIA solutions in target vehicles, tuning perception and sensor fusion for driving performance.
• Lead bring-up activities and provide technical support to resolve related issues.
• Perform and leverage in-vehicle and simulation test drives for functional and performance analysis.
• Collaborate with partners to integrate hardware and software components, profile performance and drive optimization.
• Coordinate with global teams across US, APAC, and Europe to deploy solutions.

Skills

Deep learning

Autonomous driving

C/C++

Python

Sensor fusion

Data analysis

RTOS (QNX)

Education

BS/MS in computer science, robotics, electrical engineering

Tools

QNX RTOS

Job description

NVIDIA's Solutions Engineering team is shaping the future of autonomous driving by building scalable software for perception, sensor fusion, and integration with partner platforms. You will help craft the application architecture and work closely with external partners and cross-functional teams to deploy robust solutions.

This role emphasizes hands-on problem solving, performance profiling, and real-world validation through in-vehicle tests and simulation, with opportunities to collaborate