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Amd Machine Learning Jobs in California (NOW HIRING)

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from ... Must-Haves * 5+ years of industry experience in Data Science or Machine Learning, with a proven ...

Sr. Compiler Engineer

Mountain View, CA · On-site

$122K - $168K/yr

... machine learning, and cloud-native computing. We are looking for specialists to join our ... Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel ...

Sr. Compiler Engineer

Mountain View, CA

$122K - $168K/yr

... machine learning, andcloud-native computing. We are looking for specialists to join our engineering ... Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel ...

... Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL ... that powers learning machines. You might thrive if you have 5+ years of experience in * C/C ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

Deep knowledge of machine learning, deep learning, and applied AI * Experience across the full ML ... Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ...

Staff AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

Deep knowledge of machine learning, deep learning, and applied AI * Experience across the full ML ... Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ...

... Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL ... that powers learning machines. You might thrive if you have 5+ years of experience in * C/C ...

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Amd Machine Learning information

See California salary details

$13

$22

$30

How much do amd machine learning jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for amd machine learning in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 per hour, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineers at AMD, and how can applicants prepare to address them?

Machine learning engineers at AMD often work on optimizing algorithms for high-performance hardware, which requires balancing model accuracy with computational efficiency. A common challenge is adapting complex models to run efficiently on specialized AMD hardware such as GPUs and accelerators. Applicants can prepare by gaining hands-on experience with parallel computing, understanding low-level hardware optimization, and becoming familiar with AMD’s development tools and frameworks. Collaboration with hardware engineers and software teams is also frequent, so strong communication and teamwork skills are essential.

What are AMD machine learning engineers?

AMD machine learning engineers are professionals who develop, optimize, and deploy machine learning models using AMD hardware and software platforms. They work on designing algorithms and frameworks that leverage AMD GPUs and accelerators for tasks such as data analysis, computer vision, and artificial intelligence. Their responsibilities often include collaborating with software developers, data scientists, and hardware engineers to ensure machine learning solutions run efficiently on AMD architecture.

What is the difference between Amd Machine Learning vs Data Scientist?

AspectAmd Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; certifications like AWS, AzureBachelor's or higher in CS, Statistics, or related fields; certifications like SAS, Python
Work EnvironmentTech companies, R&D labs, AI startupsBusiness analytics, finance, healthcare, tech firms
Industry UsageDeveloping ML models, algorithms, AI solutionsData analysis, insights, predictive modeling
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, Amd Machine Learning focuses on developing machine learning models and AI solutions, often requiring specialized technical skills. Data Scientists analyze data to generate insights and support decision-making, with a broader scope that includes statistical analysis. Both roles are vital in tech-driven industries but differ in their primary focus and skill sets.

Which 3 jobs will survive AI?

For Amd Machine Learning professionals, roles such as data scientists, machine learning engineers, and AI researchers are likely to persist as they require complex problem-solving, domain expertise, and ongoing innovation that AI tools currently cannot fully replicate. These jobs involve designing, developing, and maintaining AI systems, often requiring advanced programming skills, knowledge of algorithms, and critical thinking. Continuous learning and staying updated with new AI techniques are essential for long-term career resilience in this field.

What are the key skills and qualifications needed to thrive as an AMD Machine Learning Engineer, and why are they important?

To thrive as an AMD Machine Learning Engineer, you need strong programming skills in Python or C++, a deep understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AMD hardware, GPU acceleration libraries like ROCm, and frameworks such as TensorFlow or PyTorch is essential. Analytical thinking, problem-solving, and effective collaboration are vital soft skills for excelling in this multidisciplinary environment. These skills ensure robust ML model development and optimization that leverage AMD hardware capabilities for high-performance computing applications.
What cities in California are hiring for Amd Machine Learning jobs? Cities in California with the most Amd Machine Learning job openings:
Sr. Network Engineer/Rack Solution

Sr. Network Engineer/Rack Solution

Supermicro

San Jose, CA

$137K - $156K/yr

Other

Posted 6 days ago


Job description

Job Req ID: 27692
About Supermicro:

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.

Job Summary:

As a Sr. Network Engineer, you'll be the go-to person to roll out and maintain business critical applications and services for Supermicro. You are also responsible for resolving escalated service issues, coaching other engineers to resolutions, engineering and implementing complex projects. You will be a person who is independent with leadership to drive the technical development and with excellent communication skills.

Essential Duties and Responsibilities:

Includes the following essential duties and responsibilities (other duties may also be assigned):
* Execute comprehensive system-level rack tests on latest NVidia and AMD GPUs, ARM-based, Intel Xeon, and AMD EPYC processors, encompassing functionality, compatibility, performance, stress, and reliability testing, leveraging proprietary in-house tools.
* Establish expertise in HPC/AI applications and benchmarks, delivering impactful training sessions to customers and partners, while addressing complex customer support issues, demonstrating innovative problem-solving skills and building robust processes and procedures for HPC/AI solutions.
* Conduct proof of concept design and testing, providing optimized benchmarks for HPC/AI applications in a timely manner. Fine-tune BIOS settings, optimize OS/network configurations, and develop diverse simulation configurations to enhance efficiency across various workloads.
* Deliver on-site deployment services, ensuring customer acceptance verification and providing post-level 1&2 support. Create and maintain technical documentation, including technical notes, blogs, and diagrams, to facilitate knowledge dissemination.
* Identify and document hardware and software quality issues and collaborate with Product Management and other Engineering teams to integrate customer feedback into future product enhancements.
* Proactively engage in HPC roadmap development, planning software and hardware upgrades to sustain exceptional HPC infrastructure performance.
* Document and analyze test plans, reports, logs, and actively contribute to the development of test utilities and automation scripts to streamline testing processes.

Qualifications:

* BS/MS in Electrical Engineering, Computer Engineering or Computer Science
* 8+ years of work-related experience in Deep Learning and Machine Learning
* 8+ years of Linux/networking debugging/testing or relevant experience preferred
* 8+ years of data center, enterprise, or telecommunication working on routing and switching networking technologies.
* Experience with DevOps or in cloud environments, including but not limited to Docker/Containers and Kubernetes
* Hands-on experience with workload/scheduler Managers (Slurm) for rack/cluster
* Familiar with MLPerf Training/Inference benchmark, LLM, HPL-AI or RCCL/NCCL
* Programming experience with windows and Linux shell scripting
* Strong sense of teamwork and good team player, strong communication skills

Desired Skills:
1. Familiar with Intel/AMD/NVIDIA development tool kits such as CUDA, oneAPI, ROCm
2. Relevant certifications such as CCIE, JNCIE, or Arista ACE are highly desirable
3. Experience with server/network hardware debugging and troubleshooting
4. CCNA, OpenStack, OpenShift, Azure or AWS


Please note that this position requires regular in-office attendance. The successful candidate is expected to be present in the office during standard working hours as determined by the company. In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role. Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location.

Salary Range

$137,000 - $156,000

The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.

EEO Statement

Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.