Top 2418 Ai/ml engineer Jobs in Campbell Ca

Senior Technology Innovation Engineer
Iventim inc. —Sunnyvale, CA
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- Computer Science
- C++
- Mentoring
Quick Apply
Software Development Manager - Compiler
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $212,700 - $287,700 a year
- Full-time
- 5 years
- Product management
- Fair chance
- AD&D insurance
- Health insurance
1d
Analytics Engineer - AI Trainer
DataAnnotation —Santa Clara, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Analytics Engineer - AI Trainer
DataAnnotation —Menlo Park, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Machine Learning Engineer
Sajix Software Solution Private Limited —Pleasanton, CA
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
AI Engineer
Risa Labs —Palo Alto, CA
- Computer science
- Computer Science
- System design
AI Engineer
Teserac, Inc. —Santa Clara, CA
- Full-time
- Hybrid work
- Computer Science
- System design
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
AI Agent Engineer
Wackowave —Palo Alto, CA
- $50 - $60 an hour
- Call employer
- 6 years
- Computer Science
- Office
Quick Apply
1d
AI Modeling Engineer
Palona AI —Los Altos, CA
- Full-time
- 3 years
- Senior level
- Paid holidays
- Disability insurance
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6d
AI/ML Developer - AI Trainer
DataAnnotation —Newark, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior Staff Data Center Operations Engineer, GPU Hardware Architecture
Crusoe —Sunnyvale, CA
- $179,000 - $218,000 a year
- Full-time
- Bachelor of Science
- Analysis skills
- Training & development
- Commuter assistance
- Paid parental leave
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Performance Engineer (Cloud Data Plane Engineering)
NetApp —San Jose, CA
- $147,900 - $220,000 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
Consulting Solutions Engineer
NetApp —San Jose, CA
- $223,550 - $289,300 a year
- Computer Science
- 11+ years
- Senior level
- Employee stock purchase plan
- Health insurance
Distinguished Engineer - AI
NetApp —San Jose, CA
- $266,050 - $396,000 a year
- System design
- Databases
- Product management
- Employee stock purchase plan
- Health insurance
AI/ML Developer - AI Trainer
DataAnnotation —Los Altos, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Performance/ Benchmark Engineer - NVIDIA GPU Systems
Yoh, A Day & Zimmermann Company —Santa Clara, CA
- $250,000 - $300,000 a year
- Fair chance
- Senior level
- Health savings account
- Disability insurance
Quick Apply
6d
Neuron Runtime Software Development Engineer , Neuron Runtime
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $143,700 - $223,600 a year
- Full-time
- Computer science
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
1d
Software Engineer Neuron Containers, Annapurna Labs, Neuron Containers, Annapurna Labs
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $165,200 - $223,600 a year
- Full-time
- Computer science
- Mid-level
- Fair chance
- AD&D insurance
- Health insurance
1d
AI Data Center High-Speed Interconnect Architect
BizLink —Fremont, CA
- Online Application
- Master's degree
- Senior level
- Electrical Engineering
AI/ML Engineer
Quest Global —Sunnyvale, CA
- $105,000 - $115,000 a year
- Full-time
- AWS
- Senior level
- Python
- Disability insurance
- Health insurance
Quick Apply

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ai/ml engineer jobs near campbell ca

Senior Technology Innovation Engineer

Iventim inc.
Sunnyvale, CA

Quick Apply

Job Details

Full-time
$150,000 - $200,000 a year

Qualifications

Innovation
Hands-on training
Research & development

Full Job Description

Join one of the top German automotive manufacturers and help shape the future of mobility through innovative digital and IT solutions. In this role, you will drive cutting-edge initiatives across prototypes, car interior experiences, connected car services, ADAS, and navigation; Turn emerging technology into working software and build the prototypes that prove they belong in real products, then scale them.

You will identify and evaluate emerging technologies in silicon, compute, electronics, and software, determine which technologies have the potential to impact future vehicle architectures, and help bring the most promising ones into the organization.

Turn emerging technology into working software and build the prototypes that prove they belong in real products, then scale them.

We are looking for an expert-level software engineer with strong full-stack development experience and broad exposure to modern IT technologies, cloud platforms, and AI-enabled solutions. You will work closely with cross-functional teams and research community to design, build, and deliver scalable products that support the next generation of mobility experiences.

WHAT YOU'LL DO

Prototype emerging technologies into working proofs-of-concept, then help mature the promising ones into scalable solutions.
Evaluate new tools, platforms, and approaches — predictive analytics, cloud, connected / edge systems, ML, AI — and make the call on what's worth pursuing.
Scout and technically evaluate emerging silicon and compute technologies, including automotive SoCs, AI accelerators, NPUs, edge inference technologies, chiplets, and advanced packaging.
Assess technology roadmaps, architectures, performance benchmarks, power and thermal requirements, toolchain maturity, and overall readiness for automotive applications.
Own technical initiatives end to end, from concept through launch, shaping architecture and implementation.
Bring outside innovation in-house through partnerships with high-tech companies, startups, universities, research organizations, and the wider engineering community.
Build and maintain relationships across the Silicon Valley technology ecosystem to identify promising technologies and partners early.
Evaluate how silicon capabilities influence software architecture, performance, and scalability.
Translate external technology developments into clear technical recommendations and communicate their relevance to internal engineering and development teams.
Own technical initiatives end to end, from concept through launch, shaping architecture and implementation.
Bring outside innovation in-house through partnerships with high-tech companies, universities, and the wider engineering community.
Evaluate how silicon capabilities influence software architecture, performance, and scalability.
Define and support collaborative research and innovation projects, working with cross-functional teams and external partners to bring new technologies into production.
Present ideas, concepts, and technical solutions confidently to engineering leadership and key stakeholders.
Guide and mentor engineers as initiatives grow.

WHAT YOU'LL BRING

Hands-on technical experience in one or more of the following areas: silicon architecture, compute platforms, embedded systems, ML systems, compilers, or high-performance processors.
Depth in software engineering — you can design, build, and ship real systems, and you've carried work through the full concept-to-launch cycle.
Experience or exposure to compute platforms, embedded systems, or high-performance automotive processors.
Ability to understand and critically evaluate technical specifications, architectures, benchmarks, and performance claims rather than relying solely on high-level technology assessments.
Comfort in ambiguity: taking a vague, emerging idea, determining its technical potential, and turning promising concepts into something that runs.
Exposure to a broad range of technologies across IT, cloud, IoT, ML and AI.
Working knowledge of one or more of: predictive analytics / ML, cloud services, IoT, connected systems.
Software experience with Python or C++ is highly valuable, particularly in areas such as model deployment, inference optimization, quantization, or embedded/edge computing.
A research-minded, problem-solving approach with the ability to explore new ideas and technologies and make decisions on where they create technical and business value.
Ability to work effectively with both external technology innovators and internal engineering organizations — from startups and researchers to established development teams.
Fluency with Agile delivery and the judgment to lead technical work without heavy process.
Project management experience with the ability to coordinate technical initiatives across multiple stakeholders.
Degree in CS, EE / CE, Computer Architecture, Math, Physics, or a related field — or equivalent technical depth built in industry.

A PLUS (NOT REQUIRED)

Applied-research experience, in industry R&D or a university / research-institute setting.
Silicon and compute experience.
Experience with automotive SoCs, AI accelerators, NPUs, edge AI, chiplets, advanced packaging, or semiconductor technologies.
Postgraduate qualifications or a record of technical publications.
Experience collaborating with technology partners, startups, universities, research organizations, or venture / innovation ecosystems.

Pay: $150,000.00 - $200,000.00 per year

Application Question(s):

Do you have experience in one or more of the following areas: silicon/semiconductors, compute platforms, embedded systems, computer architecture, or ML systems?

Experience:

Automotive: 1 year (Required)

Work Location: Hybrid remote in Sunnyvale, CA 94089

Quick Apply

Refine Your Search

ai/ml engineer jobs in campbell ca

Senior Technology Innovation Engineer

Software Development Manager - Compiler

Analytics Engineer - AI Trainer

Analytics Engineer - AI Trainer

Machine Learning Engineer

AI Engineer

AI Engineer

AI Agent Engineer

AI Modeling Engineer

AI/ML Developer - AI Trainer

Senior Staff Data Center Operations Engineer, GPU Hardware Architecture

Performance Engineer (Cloud Data Plane Engineering)

Consulting Solutions Engineer

Distinguished Engineer - AI

AI/ML Developer - AI Trainer

Performance/ Benchmark Engineer - NVIDIA GPU Systems

Neuron Runtime Software Development Engineer , Neuron Runtime

Software Engineer Neuron Containers, Annapurna Labs, Neuron Containers, Annapurna Labs

AI Data Center High-Speed Interconnect Architect

AI/ML Engineer

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