Senior Software Engineer - Digital Biology at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, BiotechnologyIndustries

Requirements

8+ years of experience in AI/ML, with a strong focus on deep learning
BS/MS or equivalent experience in Computer Science, Physics, Mathematics, Statistics, or a related quantitative field
Proficiency in Python and deep learning frameworks, especially PyTorch
Proficient knowledge in deep learning principles and HPC techniques
Familiarity with cloud-native technologies (e.g., Kubernetes, containers, microservices)
Shown technical leadership and ability to work independently and collaboratively

Responsibilities

Implement brand new biological foundation models as NVIDIA NIM Microservices (NIM)
Compose and build agentic AI solutions for biological applications
Lead the development and productization of large-scale AI algorithms
Own major software features from development to deployment
Collaborate closely with applied research, AI infrastructure, and full-stack engineering teams to deliver robust, scalable solutions

Skills

Key technologies and capabilities for this role

PythonPyTorchDeep LearningKubernetesContainersMicroservicesHPC

Questions & Answers

Common questions about this position

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

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

Is this a remote position or does it require office work?

This information is not specified in the job description.

What are the key skills required for this role?

The role requires 8+ years of experience in AI/ML with a focus on deep learning, proficiency in Python and PyTorch, proficient knowledge in deep learning principles and HPC techniques, and familiarity with cloud-native technologies like Kubernetes, containers, and microservices.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fueled by innovation, great technology, and amazing people.

What makes a candidate stand out for this position?

Candidates stand out with hands-on experience with large language models and distributed training/inference, expertise in CUDA, TensorRT, and cuDNN, experience building and deploying cloud-native AI applications, strong communication abilities, and a proven track record of multi-functional partnership.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free