ML Software Engineer Jobs in Santa Clara, CA
ML Software Engineer jobs in Santa Clara are concentrated heavily in semiconductor, cloud infrastructure, and enterprise AI sectors, with major activity in the Central Expressway corridor, Mission College district, and the Great America Parkway tech cluster. Employers hiring right now include NVIDIA, PlusAI, and Meta. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across millions of servers worldwide. The AWS Networking team develops and operates the network platform for all of Amazon including e-commerce products and cloud computing solutions. This platform is industry-leading for its efficiency, throughput and reliability, and it is critical to the success of hundreds of thousands of AWS customers.
We have developed and maintained a wide gamut of tools to help planning/scaling/operating our network seamlessly and automatically. We are now facing the next challenge: providing a software ecosystem capable of amalgamating all tools, operations, procedures in a single manageable, scalable, automated entity.
The ideal candidate will be clearly passionate about the large opportunity for software innovation that Amazon’s network presents and about web services in general. This person has thrived and succeeded in delivering high quality solutions in a hyper-growth environment where priorities shift fast. If you're looking to solve challenging technical problems and create great products that protect and enhance customer availability, then we would like to talk to you.
At ML-Navigator team we are responsible for Machine Learning network automated support.
We are intensively focused in building mechanisms and automation to enable our operations to Zero Touch (ZT) scale/plan/operate our network across all the core networking space.
ML-Navigators takes care of all aspects related to Machine Learning network support. In the team you'll find diverse skill-sets, knowledge and experience. We are proud to have information circulate, exchange, confront and be discussed. It's an extremely dynamic environment where you decide the scope of your influence. Network engineers work along with system and software engineers to provide the tooling and the systems to help automate the end to end lifecycle of network devices. We work with other teams that provide infrastructure platform in order do improve them or to find new and more efficient ways of interacting with them.
Key job responsibilities
In this role, you will be part of a two-pizza team in an org of 100+ engineers. As a software development engineer, you will:
Help establish technical direction, foster team culture, grow junior engineers and deliver exciting features to internal and external customers.
Take end to end ownership of the software development life cycle. This includes design, testing, deployment and operating
Be very hands-on; work with the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation
Champion operational, technical and process improvements
Work with your manager and other engineers in delivering to the roadmap
Interact with customers to respond to queries, issues, and complaints
A day in the life
You will have the opportunity to design and implement systems that delight our customers.
The technical skills that will make you successful:
One or more programming languages such as: Python, Java, Rust, Go, etc.
System design
Network fundamentals
Collaborate with other engineers towards broader organizational goals and projects
Collaborate with product and program managers, principal engineers for feature definition and delivery
Work with other AWS teams to build innovative solutions that create value for our customers, supporting them in their network deployment activities
Contribute to technical designs.
About the team
We introduced a revolutionary concept in the way we manage networks and own the central point of decision making for any change needed in ML networks. We are constantly in expansion, and keep covering more areas, from deployment to operations, from planning to monitoring. We are in constant contact with our customers and design solution along with them, getting more and more in the networking business. Our impact is evident and measurable in our customers' success, from velocity in deployments to safety in changes and easy of management of the operational life of ML networks.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Who's Hiring
- NVIDIA58

- PlusAI44

- Meta15

- Amazon15

- Ampere Computing15

ML Software Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a ml software engineer job in Santa Clara?
Focus your search on Santa Clara's semiconductor companies, hyperscaler campuses, and enterprise AI software firms, which hire the most ml software engineers locally. Roles cluster along Central Expressway and the Great America Parkway corridor. Candidates with hands-on experience in model training pipelines, MLOps tooling, or on-device inference tend to stand out, since many Santa Clara employers are building hardware-adjacent AI products where those skills are immediately applicable.
Which companies hire ml software engineers in Santa Clara?
Companies currently hiring ml software engineers in Santa Clara include NVIDIA, PlusAI, and Meta, per current listings on Migrate Mate as of November 2026. Santa Clara's employer mix is notably heavy on chip designers, cloud platform teams, and enterprise software companies with large applied AI divisions.
Are there remote ml software engineer jobs in Santa Clara?
Yes, though the balance depends on the role: model research and data pipeline work skews more remote-friendly, while roles tied to hardware integration or lab infrastructure are largely on-site. About 100% of ml software engineer openings tied to Santa Clara are remote or hybrid as of November 2026. Applied ML roles at Santa Clara's semiconductor and platform companies most often require at least some on-site presence.
How can I get a ml software engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is targeting associate ML engineer or software engineer with ML focus roles at mid-size AI software companies and semiconductor firms with emerging AI divisions, which tend to have more structured onboarding than large hyperscalers. Contributing to open-source ML frameworks, building a public project portfolio, and pursuing internships through Santa Clara University or nearby university pipelines that feed local employers all strengthen a candidacy in this specific market.
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