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Accelerated Software Development Program Jobs in Foster City, CA

Principal Software Development Engineer

Santa Clara, CA · On-site

$158K - $212K/yr

By accelerating clinical research, streamlining workflows, and expanding assay menus, we are ... As a Principal Software Developer in Test, you will be responsible for test design, development ...

Use AI-assisted and agentic coding tools to accelerate delivery: steer agents, critically review ... programs, the stories we tell, the customers we serve, and how you can help us advance our mission ...

Use AI-assisted and agentic coding tools to accelerate delivery: steer agents, critically review ... programs, the stories we tell, the customers we serve, and how you can help us advance our mission ...

Rich experience in cloud based product related software development and cross-platform development ... All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed ...

Use AI-assisted and agentic coding tools to accelerate delivery: steer agents, critically review ... programs, the stories we tell, the customers we serve, and how you can help us advance our mission ...

Showing results 41-60

Accelerated Software Development Program information

See Foster City, CA salary details

$92.7K

$165.6K

$208K

How much do accelerated software development program jobs pay per year?

As of Aug 11, 2026, the average yearly pay for accelerated software development program in Foster City, CA is $165,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,900.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Accelerated Software Development Program vs Software Developer?

AspectAccelerated Software Development ProgramSoftware Developer
CredentialsTypically requires a bachelor’s degree in computer science or related field; may include certifications like Java or PythonRequires a bachelor’s degree in computer science or related field; certifications are optional
Work EnvironmentIntensive training environment, often within a company’s internship or training programFull-time employment in software development teams
Industry UsageUsed by companies to fast-track entry-level talentStandard role for software engineering positions

The Accelerated Software Development Program is a structured, intensive training pathway designed to fast-track individuals into software development roles, often within a company. In contrast, a Software Developer is a standard full-time role requiring similar credentials but without the accelerated training component. The program emphasizes rapid skill acquisition, while the developer role focuses on ongoing project work.

What cities near Foster City, CA are hiring for Accelerated Software Development Program jobs? Cities near Foster City, CA with the most Accelerated Software Development Program job openings:
Infographic showing various Accelerated Software Development Program job openings in Foster City, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,622 per year, or $79.6 per hour.

Engineering Manager, Deep Learning Inference

Nvidia

Santa Clara, CA • Hybrid

Full-time

Posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today's most sophisticated AI systems - from large language models to multimodal generative AI - all accelerated on NVIDIA GPUs. The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible - including vLLM / SGLang, and FlashInfer. Our work enables developers worldwide to harness NVIDIA accelerators for real-time inference at every scale, from datacenter clusters to edge devices.

What you'll be doing:

  • Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.

  • Drive the strategy, roadmap, and execution of NVIDIA's inference frameworks engineering, focusing on Client AI.

  • Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.

  • Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.

  • Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).

  • Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA's broader AI and software strategies.

  • Foster a culture of technical excellence, open collaboration, and continuous innovation.

What we need to see:

  • MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.

  • 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.

  • Strong background in C/C++ software design and development; proficiency in Python is a plus.

  • Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.

  • Proven record of deploying or optimizing deep learning models in production environments.

  • Experience leading teams using Agile or collaborative software development practices.

Ways to Stand out from The Crowd:

  • Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM / SGLang, Triton, or TensorRT-LLM.

  • Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.

  • Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms.

  • Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.

  • Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, our rapid growth means endless opportunities for career advancement. If you're a passionate technical leader ready to shape the future of AI inference frameworks - and build the software that powers the world's most advanced models - we'd love to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993