Technical Sales Engineer Jobs in Santa Clara, CA
Technical Sales Engineer jobs in Santa Clara are concentrated in the Central Expressway corridor, the Lawrence Expressway tech belt, and the Tasman Drive office clusters near the Levi's Stadium area, with the heaviest demand coming from semiconductor, enterprise software, and networking hardware companies. Employers hiring right now include Palo Alto Networks, NVIDIA, and AMD. Find a role that fits below and apply directly.
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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. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA wants a technical lead to invent a new platform that enables engineers to assess the performance of AI workloads running on numerous computing nodes. Our team develops software tools for technical users to comprehend complex computing systems. You will lead the architecture of a system that collects performance data at a data center scale, maintains it as searchable history, and permits both people and automated analysis agents to find and explain performance issues. You will evolve this from an early prototype into a product used by other teams, while building hands-on as the team expands.
What you’ll be doing:
- Define the end-to-end architecture: the data model, the service and API contracts, and the boundaries with the tools and teams that produce the data.
- Make foundational decisions and justify them in documents. Include considered alternatives and evidence that could reverse them. Align these decisions with partner teams and their roadmaps.
- Build in the early phase: stand up services, APIs and a deployment path yourself, so that partners can develop the system before every role is filled.
- Explain how automated analysis agents operate within the platform. Describe what queries they may perform, how their results relate to evidence, and the constraints on their cost and response time. Review performance diagnoses and drive the first use cases with design partners, mentor engineers, and establish the engineering approaches the team grows into.
What we need to see:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 15+ years of software engineering experience, including technical leadership of a data-intensive platform that shipped end to end and was used by other teams.
- Experience developing or managing systems where automated agents or models process large amounts of production data, including methods used to assess the quality of their results.
- Practical knowledge of GPU and machine learning workload performance: you can review a performance diagnosis, question its evidence, and decide which signals matter most.
- A track record of crafting APIs and data models that evolved without breaking existing users or deployments.
- Hands-on ability to build and deploy services and tooling yourself, including when using automated development tools, and to verify the result independently through tests and measurements.
- Clear communication of build choices, trade-offs and uncertainty to engineers, partner teams and leadership, and the ability to align teams without direct authority. Proficiency with C++, Go, Python.
Ways to stand out from the crowd:
- Background in developer tools, profilers or performance-analysis products.
- Experience transforming a prototype into a platform embraced by multiple teams with distinct priorities.
- Identity, access control and multi-tenant build for products that hold customers’ data.
- Evaluation approach for the output of analysis agents or models: labeled cases, precision and recall, abstention. Working knowledge of SQL and TypeScript.
Join NVIDIA and be part of a team that’s redefining what’s possible through technology. Together, we’ll build a platform that sets new standards for performance data analysis and empowers engineers worldwide to achieve flawless results!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits .
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.See All 230+ Technical Sales Engineer Jobs in Santa Clara
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Who's Hiring
- Palo Alto Networks77

- NVIDIA64

- AMD13

- Niterra13

- Fortinet13

Top Industries Hiring
- Agriculture & Farming
- Technology & Software
Technical Sales Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a technical sales engineer job in Santa Clara?
The strongest path into Santa Clara's technical sales engineer market runs through its semiconductor, networking, and enterprise infrastructure sectors, where companies along the Central Expressway corridor and near the Lawrence Expressway regularly recruit pre-sales and solutions engineering talent. Candidates with hands-on experience in silicon, cloud platforms, or network architecture stand out. Targeting mid-size hardware and software vendors headquartered in Santa Clara, rather than only large tech giants, opens more entry points.
Which companies hire technical sales engineers in Santa Clara?
Companies currently hiring technical sales engineers in Santa Clara include Palo Alto Networks, NVIDIA, and AMD, per current listings on Migrate Mate as of November 2026. Santa Clara's employer base skews heavily toward semiconductor manufacturers, networking equipment makers, and enterprise cloud vendors with North American sales hubs anchored in the city.
Are there remote technical sales engineer jobs in Santa Clara?
Yes, though partially: technical sales engineering involves substantial on-site product demos, proof-of-concept engagements, and customer visits, which limits fully remote roles. About 66% of technical sales engineer openings tied to Santa Clara are remote or hybrid as of November 2026, with the most remote-eligible work concentrated in inside sales engineering and post-sale technical account management rather than field-facing pre-sales roles.
How can I get a technical sales engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is moving from a technical support or systems administrator role at one of the city's many networking or semiconductor vendors into an associate solutions engineer position. Santa Clara employers such as networking equipment makers and cloud infrastructure firms frequently hire associate pre-sales engineers from their own support teams. Familiarity with the specific product categories those companies sell, such as network switching or storage systems, gives candidates a concrete edge over generalists.
Which industries hire the most technical sales engineers in Santa Clara?
Most technical sales engineer openings in Santa Clara sit in Agriculture & Farming and Technology & Software, per current listings on Migrate Mate as of November 2026. Santa Clara's position as a global center for semiconductor design and enterprise networking infrastructure means those sectors generate consistent pre-sales and solutions engineering demand year-round, anchored by the dense cluster of chip and hardware vendors headquartered or regionally officed in the city.
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