Senior System Software Engineer - Autonomous Vehicles at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

B.Tech. or M.Tech. in CS/CE/EE, or equivalent experience
12+ years of experience in a related field
Excellent C/C++ programming skills & strong problem solving and debugging skills
Embedded system, SW/HW cross proven experience
Strong understanding of video streaming, compressions, and network latency issues
Solid understanding of image processing and computer vision fundamentals related to camera calibration, video encoding, photogrammetry, depth estimation, object detection, tracking, and SLAM techniques
Real passion for uncovering root causing bottlenecks and optimizing performance
Dedicated, fast to act and learn, and self-motivated with excellent analytical skills
Excitement to deploy your strong interpersonal skills
Ways to stand out (Preferred)
Experience with video compression and real time video streaming
Practice with image processing and computer vision algorithms
Hands-on with CUDA, OpenGL and OpenCV
Experience with GPU technology, imaging, camera and multimedia

Responsibilities

Work alongside brilliant engineers on core technologies, and implement and optimize software to solve complex Imaging & computer vision problems using NVIDIA GPUs in real time
Realize most complex pixel compute algorithms running in a constrained environment such as a car/robot embedded system based on NVIDIA's Tegra SOC, as well as building Digital twin applications in NVIDIA's Omniverse environment
Own the whole pipeline of building software and hardware solutions to remote teleoperation for autonomous driving cars and robots from camera calibration, video data capturing, streaming, message protocol transmission, to object detection etc., composition and rendering in VR or 3D geometry
Collaborate with deep neural networks to build awareness around the Car, working on enhancing visualization of sensor information by using various image processing algorithms like surround view stitching, object detection overlays on video streams, and added visual cues for enhanced scene understanding
See features go through the whole cycle - from proof-of-concept to production

Skills

C++

Video Compression

Video Streaming

Image Processing

Computer Vision

NVIDIA GPU

Tegra SOC

Omniverse

Camera Calibration

Object Detection

Deep Neural Networks

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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