Senior Applications Software Engineer, DriveAV - Autonomous Vehicles at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

BS or MS degree from a leading university, or equivalent experience, in an engineering or computer science related discipline with 8+ years of relevant working experience
Excellent programming skills in C, C++ and Python and understanding of build systems (like Bazel)
Working experience with ADAS or autonomous driving software stack
Good working knowledge of Linux and QNX
Proficient debugging skills from application to kernel level on embedded hardware
Experience in software architecture design
Good written and verbal interpersonal skills - concisely articulate knowledge and ideas
Ways to stand out (Preferred)
Experience in functional development, adaptation and testing of automotive software based on various sensors (e.g. camera, radar, lidar, GPS, ultrasound etc.)
Experience in automotive ECU software integration, in Classic and Adaptive AUTOSAR
Experience developing software in heterogeneous architectures, including GPUs and other types of accelerators
Good knowledge of process standards like ASPICE & ISO26262
Self-motivated and work effectively across different international functional organizations

Responsibilities

Work on the SW platform components of the NVIDIA autonomous driving software stack
Analyse, debug, fix bugs in the SW platform components to deliver high quality SW releases to customers
Contribute to platform software development, tools, filesystem customization, and software integration
Enhance integration efficiency to facilitate low latency development on Autonomous Vehicle Simulation & Car platforms
Regularly engage with customer teams to productize workflows for platform integration

Skills

C++

Python

Bazel

Linux

QNX

ADAS

Autonomous Driving

Embedded Hardware

Software Debugging

Software Architecture

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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