Senior Software Engineer - Onboard Mapping at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AutomotiveIndustries

Requirements

BS or MS in Computer Science or equivalent experience
3+ years of proven experience building robust software
At least 3 years of C++ development experience
Background in 3D geometry and computer vision
Passion for robotics and autonomous vehicles
Drive to learn new things and solve significant problems
Outstanding communication and cross-team collaboration
Independent and analytical software engineering skills

Responsibilities

Develop APIs and data pipelines that enable efficient retrieval, versioning, and synchronization of map content across fleets
Invent and implement large-scale quality-measurement algorithms for fused map and perception information
Collaborate with on-vehicle consumers to define map data formats and performance requirements
Handle real-time system signals in cars running globally
Write safe embedded software code to run in real-time systems
Develop highly efficient product code in C++ and apply algorithmic parallelism through GPGPU programming (CUDA)
Produce code and builds adhering to automotive quality and safety standards (AUTOSAR, ISO 26262)
Review architecture, build, and software code from teammates
Mentor newer team members in software engineering and your areas of expertise

Skills

Key technologies and capabilities for this role

C++CUDAComputer Vision3D GeometryEmbedded SoftwareReal-time SystemsAPIsData PipelinesAUTOSARISO 26262GPGPU

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

Required skills include BS or MS in Computer Science or equivalent, 3+ years of proven experience building robust software, at least 3 years of C++ development experience, background in 3D geometry and computer vision, plus passion for robotics and autonomous vehicles.

What experience will help me stand out as a candidate?

Ways to stand out include software development on embedded or automotive platforms, experience in global-scale map building and GIS, expertise in runtime optimization using profilers, strong API and framework building skills, and experience with CUDA parallel programming.

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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