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Accelerator Program Manager Jobs in Santa Clara, CA

Technical Program Manager

Palo Alto, CA

$151K - $196K/yr

Coordinate hardware enablement programs with partners like Nvidia, Google, and AWS, including new accelerator bring-up, kernel co-development, and benchmark validation. * Manage integration programs ...

Technical Program Manager

Palo Alto, CA · On-site

$151K - $196K/yr

... new accelerator bring-up, kernel co-development, and benchmark validation. • Manage integration programs with frontier AI labs and early adopters, ensuring technical requirements, SLAs, and ...

You will own the program management of manufacturing test development--from early architecture and ... Experience developing manufacturing test for AI servers, accelerator systems, networking hardware ...

You will own the program management of manufacturing test development-from early architecture and ... Experience developing manufacturing test for AI servers, accelerator systems, networking hardware ...

Familiarity with AI/ML accelerators, dataflow or novel compute architectures.. Experience managing emulation/FPGA prototyping programs and pre‑silicon software enablement timelines. Exposure to ...

New

Job Summary Etched is seeking a Manufacturing Design Program Manager to drive technical ... accelerator systems, networking hardware, storage systems, or other high-performance compute ...

New

Department of Energy's (DOE) Office of Science (SC) operates the SLAC National Accelerator ... The Program Manager (PM) will be responsible for providing Integrated Service Provider (ISP). The ...

Showing results 21-40

Accelerator Program Manager information

See Santa Clara, CA salary details

$45.5K

$127K

$185.6K

How much do accelerator program manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for accelerator program manager in Santa Clara, CA is $127,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $156,600.00 per year, depending on experience, location, and employer.

What does an accelerator program manager do?

An Accelerator Program Manager oversees and manages startup accelerator programs, guiding entrepreneurs through mentorship, funding, and networking opportunities. They design and execute program strategies, coordinate with mentors and investors, and ensure startups receive the resources they need to grow. Their role involves organizing events, tracking progress, and fostering a supportive ecosystem. Strong project management, communication, and leadership skills are essential in this position.

What are the key skills and qualifications needed to thrive as an accelerator program manager?

To excel as an Accelerator Program Manager, you need a solid background in program management, startup development, and business strategy, typically backed by a bachelor's degree in business, entrepreneurship, or a related field. Familiarity with CRM systems, project management tools like Asana or Trello, and data analytics platforms is often required. Exceptional soft skills include strong communication, relationship-building, adaptability, and mentorship ability to support and guide startup founders. These skills are crucial for successfully managing dynamic cohorts, optimizing program outcomes, and fostering a thriving entrepreneurial ecosystem.

What job categories do people searching Accelerator Program Manager jobs in Santa Clara, CA look for?

The top searched job categories for Accelerator Program Manager jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Accelerator Program Manager jobs?

Cities near Santa Clara, CA with the most Accelerator Program Manager job openings:

Infographic showing various Accelerator Program Manager job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $127,003 per year, or $61.1 per hour.

Technical Program Manager

RadixArk

Palo Alto, CA

$151K - $196K/yr

Full-time

Re-posted 22 days ago


Job description

About the Role
As a Technical Program Manager at RadixArk, you'll drive the execution of complex, cross-functional programs across our inference and training infrastructure. You'll partner closely with Product Management, Research, and Engineering to turn ambitious technical roadmaps into shipped reality, coordinating across kernel teams, distributed systems engineers, and external partners to deliver infrastructure that serves billions of tokens daily and coordinates 10,000+ GPU training runs.
This role is for someone who thrives at the intersection of deep technical understanding and rigorous program execution. You'll own the "how" and "when" of our most critical initiatives.
Key ResponsibilitiesProgram Execution & Delivery
  • Drive end-to-end execution of large-scale, cross-functional programs spanning inference engines (e.g., SGLang), training frameworks (e.g., Miles), and hardware integration efforts.
  • Define program structure, including milestones, dependencies, critical paths, risks, and success criteria. Maintain a clear source of truth for status across all stakeholders.
  • Run design reviews, sprint planning, release readiness reviews, and post-mortems. Ensure decisions are documented and follow-ups are closed out.
  • Identify and unblock cross-team dependencies across kernel, runtime, scheduler, networking, and model teams before they become release blockers.
  • Drive release management for major versions, including changelog ownership, compatibility validation, partner rollout sequencing, and rollback planning.
Technical Coordination
  • Partner with Product Management to translate roadmap priorities into executable program plans, with clear scope, staffing, and timelines.
  • Work shoulder-to-shoulder with engineering leads on technical trade-off decisions; understand the architecture deeply enough to ask the right questions and surface hidden risks.
  • Coordinate hardware enablement programs with partners like Nvidia, Google, and AWS, including new accelerator bring-up, kernel co-development, and benchmark validation.
  • Manage integration programs with frontier AI labs and early adopters, ensuring technical requirements, SLAs, and feedback loops are well-defined.
Operational Excellence
  • Build and improve the engineering operating cadence, including standups, planning rituals, OKR tracking, dashboards, and reporting to leadership.
  • Establish metrics and instrumentation for program health such as velocity, defect rates, benchmark regressions, and customer-reported issues, and drive accountability against them.
  • Lead incident response coordination for production issues affecting partners; own root-cause review and corrective-action tracking.
  • Improve developer productivity by identifying and removing systemic friction in our build, test, and release pipelines.
Stakeholder Communication
  • Serve as the connective tissue between engineering, product, GTM, and external partners, ensuring everyone has the right information at the right altitude.
  • Produce clear, concise written updates for leadership and partners. Translate engineering progress into business-relevant signals.
  • Represent program status honestly, including risks and slips, with concrete mitigation plans.
QualificationsMinimum Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 4+ years of direct experience in Technical Program Management, Engineering Management, or a senior engineering role with significant program ownership, in a software or infrastructure company.
  • Strong technical fluency in systems software, distributed systems, or AI/ML infrastructure; able to read code, follow architecture discussions, and challenge technical assumptions productively.
  • Demonstrated track record shipping complex, multi-team programs on time, including managing dependencies, risks, and scope changes.
  • Excellent written and verbal communication skills; able to drive alignment across engineers, executives, and external partners.
Preferred (Bonus) Qualifications
  • Direct experience shipping AI/ML infrastructure such as inference engines, training frameworks, GPU kernels, distributed schedulers, or model serving platforms.
  • Hands-on coding background (Python, C++, CUDA) and comfort working in engineering codebases, including reading PRs, running benchmarks, and reproducing issues.
  • Experience coordinating with hardware vendors (Nvidia, AMD, Google TPU, AWS Trainium/Inferentia) on enablement or co-engineering programs.
  • Experience driving open-source release programs or working in OSS communities, including issue triage, RFC processes, and contributor coordination.
  • Familiarity with release engineering, CI/CD systems, and observability tooling for large-scale distributed systems.
  • Experience supporting B2B or developer-facing products with enterprise SLAs.
About RadixArk

RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.

Compensation

We offer competitive compensation with equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.

Equal Opportunity

RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.