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Partner Solutions Jobs in California (NOW HIRING)

You'll collaborate across sales, product management, solutions engineering, marketing, and customer success teams while engaging directly with partner and customer executives. As part of this ...

You'll collaborate across sales, product management, solutions engineering, marketing, and customer success teams while engaging directly with partner and customer executives. As part of this ...

You'll collaborate across sales, product management, solutions engineering, marketing, and customer success teams while engaging directly with partner and customer executives. As part of this ...

Apply Solution Selling & Market Insight. Articulate differentiated value propositions and clearly ... Balance partner and company objectives while identifying risks and ensuring scalable, repeatable ...

Showing results 41-60

Partner Solutions information

See California salary details

$30.1K

$116K

How much do partner solutions jobs pay per year?

As of Aug 13, 2026, the average yearly pay for partner solutions in California is $111,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is partner solutions?

Partner Solutions refer to services, products, or offerings that are developed in collaboration with external partners to address specific business needs. These solutions typically combine the strengths, technologies, or expertise of multiple organizations to deliver enhanced value to customers. In many industries, Partner Solutions help companies expand their capabilities, enter new markets, or provide more comprehensive services by leveraging strategic alliances.

What is the difference between Partner Solutions vs Partner Account Manager?

AspectPartner SolutionsPartner Account Manager
Primary RoleDevelops and implements partner programs, solutions, and integrationsManages relationships with existing partners, focusing on account growth
Required SkillsTechnical knowledge, solution design, strategic planningRelationship management, sales, communication
Work EnvironmentCross-functional teams, technical and business collaborationCustomer-focused, sales-driven, client interaction
Industry UsageTechnology, SaaS, software companiesTechnology, SaaS, software companies

Partner Solutions roles focus on creating and implementing technical solutions and partner programs, while Partner Account Managers primarily manage and grow existing partner relationships. Both roles are essential in partner ecosystems but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a partner solutions professional?

To thrive in a Partner Solutions role, you need a strong background in business development, relationship management, and a deep understanding of partner ecosystems, typically supported by a degree in business, marketing, or a related field. Familiarity with CRM platforms, partner management software, and data analytics tools is commonly required. Exceptional communication, negotiation, and problem-solving skills help professionals build trust and drive successful collaborations. These abilities are crucial to fostering mutually beneficial partnerships that drive business growth and achieve organizational objectives.

How does a partner solutions professional typically collaborate with cross-functional teams to deliver value to clients?

As a Partner Solutions professional, you will frequently work with sales, product, and technical teams to design and implement joint solutions that address client needs. This involves coordinating meetings to align on project goals, sharing insights about partner capabilities, and ensuring seamless integration between products or services. Strong communication and project management skills are crucial, as you often serve as the bridge between internal stakeholders and external partners. Successfully navigating these collaborations leads to robust client solutions and long-term business relationships.

What are popular job titles related to Partner Solutions jobs in California?

For Partner Solutions jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Partner Solutions jobs?

Cities in California with the most Partner Solutions job openings:

Infographic showing various Partner Solutions job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $111,623 per year, or $53.7 per hour.

Solutions Architect, LLM Model Builder

Nvidia Corporation

Santa Clara, CA • On-site

$74 - $97.50/hr

Full-time

Re-posted 9 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

NVIDIA is seeking an outstanding Solutions Architect, Foundation Models to join our growing team focused on partner enablement for reasoning models, multimodal models, and production inference! In this role, you will act as both a strategic technical expert and a hands-on advisor, helping partners build, benchmark, fine-tune, optimize, and deploy foundation model solutions for customer workloads.
The Partner Solutions Architecture team acts as a trusted advisor to the ecosystem. We enable partners to translate customer requirements into architectures, benchmark recipes, cluster test plans, compute sizing, and production readiness-accelerating time to value through the full-stack accelerated computing platform.
What you'll be doing:
  • Serve as the lead technical advisor for partners delivering reasoning, multimodal, fine-tuning, and model-serving solutions.
  • Guide partners to the right approach for customer workloads across fine-tuning, distillation, quantization, compression, benchmarking, and evaluation.
  • Define benchmark plans, synthetic data and evaluation workflows, and repeatable validation recipes.
  • Advise on compute planning, including cluster sizing, GPU and network selection, storage, memory tradeoffs, latency and throughput targets, and production-readiness testing.
  • Guide inference architecture across prefill and decode tradeoffs, batching, routing, disaggregated inference, and serving efficiency.
  • Develop reference architectures, playbooks, benchmark recipes, TCO calculators, and sizing models across CUDA, NeMo, Nemotron, Dynamo, TensorRT-LLM, Triton, NIMs, and related tooling.
  • Support pre- and post-sales engagements by translating complex model and infrastructure topics for partner and customer teams.

What we need to see:
  • MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
  • 5+ years of relevant experience working with LLMs, VLMs, and large-scale inference systems, with hands-on expertise in fine-tuning, benchmarking, evaluation, optimization, and production deployment as a Research Engineer, Deep Learning Engineer, or equivalent.
  • Strong understanding of foundation models across data preparation, fine-tuning, post-training, evaluation, and inference.
  • Familiarity with reasoning models, reinforcement learning, and synthetic data generation and evaluation workflows.
  • Strong programming skills in Python and hands-on experience with PyTorch, JAX, or TensorFlow.
  • Familiarity with Nemotron, NeMo, Dynamo, TensorRT-LLM, Triton, vLLM, and similar inference and optimization stacks.
  • Strong communication and presentation skills, with the ability to advise both technical teams and executives.

Ways to stand out from the crowd:
  • Experience helping partners or customers deploy large-scale AI systems in production.
  • Built benchmark suites, fine-tuning recipes, sizing calculators, or TCO models for AI workloads.
  • Strong knowledge of GPU infrastructure, including NVLink, InfiniBand, MPI, NCCL, or adjacent cluster technologies.
  • Active OSS contributions in model tooling, inference, evaluation, or performance optimization.
  • Comfortable moving between deep technical reviews, architecture guidance, benchmarking, and partner enablement.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 11, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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

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Hours and flexibility

Workplace

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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