---
title: 'Director of IT Infrastructure & Operations at Velaura'
canonical: 'https://feeny.ai/job/director-of-it-infrastructure-operations-velaura-santa-clara-46t1yb690v9g'
type: 'job'
last_seen: '2026-09-11'
---

# Director of IT Infrastructure & Operations at Velaura

- **Company:** Velaura
- **Location:** Santa Clara, CA
- **Compensation:** $250k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/velaura/54ba1b58-8517-4203-bc72-f8a84dabb72d

## Job description

## Role Overview

Velaura AI is seeking an experienced Director of IT Infrastructure & Operations to own IT and infrastructure end to end: the hybrid compute environment our designers depend on, the security program that protects our design IP, the systems that support our development, and the team that runs all of it. You'll lead our existing IT team and grow it. We are looking for someone senior enough to set a 12–24 month architecture direction and hands-on enough to be in the middle of all major IT decisions such as storage scaling, COLO expansion, uptime while managing all vendor negotiation. The ideal candidate will be productive on day one, at cohort scale. Additionally they will: Ensure Compute and storage capacity is planned ahead of demand rather than in reaction to it; queue wait times and storage performance are measured and trending the right way. A new software engineer starts with repo access, a working build environment, and compute quota provisioned before they log in. IAM, endpoint, and access controls are in place and documented well enough to pass a customer security audit. A disaster-recovery plan exists for every system a tape-out depends on, and it has been tested. Hands-on — you'd rather be inside the architecture and the troubleshooting than above it Scale-minded — you build for the company we're becoming, not the one we are today Engineering-oriented — you treat compute availability and storage performance as product-schedule items, because they are Security-conscious — you treat design data as the crown jewels and still find ways to say yes to engineers Pragmatic — you balance real controls against the speed a fast-growing company needs Steady — outages, security incidents, hiring waves, lab problems, IT scale problems and hard deadlines don't rattle you

## Responsibilities

- Engineering compute. Partner with engineering leadership to forecast and optimize infrastructure for compute-intensive EDA workloads — RTL, verification, physical design, simulation, tape-out. Manage Linux HPC environments, workload schedulers (LSF, Slurm, or equivalent), and large-scale shared storage. Make sure infrastructure is ready ahead of design freezes and tape-outs, silicon bring up, and customer SDK releases, not during them.
- Software infrastructure. Own CI/CD at scale, self-hosted runners, and cross-compilation and build farms across multiple target architectures; container and artifact registries, package and dependency mirroring, and reproducible build environments; Kubernetes for internal services and developer tooling; and source control that holds up at 200+ people, with large artifacts and deep submodule trees.
- Hybrid infrastructure. Architect and operate Azure, Google Cloud, AWS, on-prem servers, virtualization, storage, backups, and both corporate and lab networks. Build the capacity-planning discipline for compute, storage, bandwidth, licenses, and cloud resources — and make the build-vs-buy and cloud-vs-on-prem calls.
- IP security. Stand up the program that protects RTL, physical-design databases, foundry data, and customer information: IAM with SSO, MFA, RBAC and privileged-access controls; endpoint security, DLP, encryption, vulnerability management; secure remote access; clear boundaries for employees, contractors, and partners. Lead us through customer security reviews and toward SOC 2 / ISO 27001 readiness — you own the outcome and decide the right mix of internal hires, MSPs, and specialist security firms to get there. Own the security controls around what we ship: open-source license compliance and SBOM generation for anything we redistribute, code signing and artifact provenance for SDK and OTA payloads, and secure key handling for signed images.
- IT Infrastructure and facilities technology. Own the IT infrastructure — including secure segmentation from corporate and engineering environments, lab access controls, test systems, and data collection, and reliable secure remote access for a distributed engineering team — and coordinate with operations on power, cooling, rack space, cabling, and UPS.
- Employee technology. Build onboarding and offboarding that survives large hiring waves: standard images, role-based access profiles, day-one readiness. Run a service desk with real SLAs that engineers, executives, and lab users all find responsive.
- Budget and team. Own IT OpEx and CapEx, cloud FinOps (tagging, chargeback, commitments), vendor selection and contracts, and asset management. Lead and grow the existing IT team, and decide the right mix of internal staff, MSPs, and specialists.

Required Qualifications

- 10+ years in IT infrastructure, including 5+ leading infrastructure and operations teams.
- You've scaled an IT environment through rapid organizational growth and can talk candidly about what worked and what didnt.
- Strong Linux and engineering-compute background; real depth in at least one major cloud (Azure, GCP or AWS) and comfort operating all.
- Hands on expertise in enterprise networking (firewalls, VPNs, segmentation) and enterprise storage, virtualization, and DR.
- Hands-on experience implementing IAM, MFA, endpoint management, logging, and enterprise security controls.
- A track record of building the operational layer: service desk, asset management, budgets, vendor contracts, capacity planning

Especially interesting to us: semiconductor, EDA, hardware, or AI-infrastructure experience; supporting a hardware organization and a software organization; software supply-chain security;  familiarity with Cadence / Synopsys / Siemens EDA flows and HPC environments; having supported real tape-out deadlines; securing design IP and foundry data access, or working inside SOC 2, ISO 27001, or NIST frameworks; hardware lab or high-availability data center experience; infrastructure-as-code (Terraform, Ansible, Python); CISSP, CISM, CCNP, or a cloud architect certification

If you meet most of this and the rest looks learnable, we'd love to hear from you.

Why Velaura? Velaura is building next-generation compute technology for cloud, edge, and Physical AI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world. This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape the future of Physical AI, we would love to hear from you.

## Equal Employment Opportunity and Accommodations

Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment opportunities to minorities, women, individuals with disabilities, and protected veterans. Velaura is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: careers@velaura.ai. This contact information is for accommodation requests only. Evaluation of requests for reasonable accommodation will be determined on a case-by-case basis.

## About Velaura

## Company Overview
- **One-liner**: Velaura (formerly Auradine) is a semiconductor and systems company building ultra-low-power compute infrastructure for AI workloads across cloud, edge, and physical AI applications.
- **Entity Type**: Private (Series C, $314M total funding)
- **Headquarters**: Santa Clara, California, USA
- **Founded**: 2023 (as Auradine; rebranded to Velaura AI in 2026)
- **Founders**: Co-founded by Rajiv Khemani (CEO), YJ Kim (President, Products), Sanjay Gupta (President, Strategy & GTM), and Manu Gulati (Chief Development Officer)

## Core Business
- **Primary Industry**: Semiconductor design, AI compute infrastructure, ultra-low-power ASICs
- **Target Customers**: Hyperscale data centers, AI/ML platform providers, edge computing companies, and physical AI (robotics, automotive) OEMs — primarily **B2B Enterprise**
- **Mission**: To deliver proven, breakthrough, ultra-low-power compute for cloud, edge, and physical AI applications, solving the power bottleneck that constrains AI scaling.

## Products & Services
- **Proprietary Ultra-Low-Power Digital Design Technology**: Patented IP and toolflow that reduces power consumption of arithmetic operations by 2–4x on leading process nodes, translating to ~$650–$1,300/chip in power savings over 3 years. Output is optimized GDS or chiplets.
- **Custom AI Accelerators (ASICs)**: Full-custom silicon solutions for AI inference and training workloads, co-designed with customers (RTL input → optimized GDS).
- **Engagement Model**: Customer provides RTL design and priorities; Velaura applies its proprietary methodology, low-voltage libraries, and custom circuit expertise to deliver power-optimized chip designs with proven yield and reliability.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: **$314M total funding** across 4 rounds
  - Series A (2023): $71M from 6 investors
  - Debt Financing (2023): $10M
  - Series B (2024): $80M from 7 investors
  - Series C (2025): $153M from 8 investors
- **Notable Investors/Partners**: Backed by top-tier VCs (specific names not publicly listed; investors include firms with deep semiconductor expertise) — talent sources include Qualcomm, Arm, Apple, Google, NVIDIA, Intel, Palo Alto Networks, Stripe
- **Growth Signals**:
  - Rebranded from Auradine to Velaura AI in August 2026, signaling strategic expansion into AI compute
  - Added Manu Gulati (ex-NUVIA co-founder, Apple/Google silicon architect) as Co-founder & Chief Development Officer
  - Added Aditya Grover (Co-founder & CTO of Inception, Stanford PhD, part of the team that invented Diffusion models) as Founding Advisor
  - Workforce of 42 employees growing at +4.3% monthly; headcount split ~47% US / 39% India
  - Offices in Santa Clara, CA (HQ) and additional US location, with hiring across hardware and software engineering in Bangalore, Austin, and Boston

## Competitive Advantages
- **Patented ultra-low-power digital design technology** field-proven over multiple years across tens of millions of ASICs deployed with world-class yield and reliability
- **Founding team with exceptional pedigree**: seasoned entrepreneurs and technologists from Qualcomm, Marvell, NVIDIA, Intel, Palo Alto Networks, Apple, Google, and NUVIA (acquired by Qualcomm for ~$1.5B)
- **Systems-level thinking**: combines deep silicon expertise with AI/ML domain knowledge to tackle power as the primary bottleneck for AI at scale
- **Engagement model** that allows customers to leverage Velaura’s IP without fully outsourcing chip design — outputs optimized GDS or chiplets on latest process nodes

## Strategic Focus
- **Scale ultra-low-power compute across three domains**: cloud data centers, edge/enterprise, and physical AI (robotics, autonomous systems)
- **Hire aggressively** for engineering leadership: compiler development, platform software, CAD/methodology, RTL, design verification, advanced packaging, AI architecture, and hardware/software co-design
- **Productize its proprietary IP** into standard offerings for hyperscalers and AI chip companies
- **Continue raising capital** (largest round was $153M Series C in April 2025) to fund expansion

## Why Work Here
- **Culture**: Deep engineering DNA and systems-level thinking — the team is solving one of AI’s hardest physical constraints (power) with proven silicon technology
- **Growth trajectory**: Rapidly scaling startup (42 employees, +4.3% monthly headcount growth, $314M raised) with a clear path to becoming a key infrastructure provider for the AI era
- **Leadership**: Led by industry veterans (NUVIA, Apple, Google, Qualcomm) who have built billion-dollar silicon companies and products powering billions of devices
- **Work environment**: On-site roles in Santa Clara, CA; Austin, Texas; and Bangalore, India. Remote/hybrid policy not specified but multiple office locations suggest flexible collaboration.
- **Impact**: Opportunity to work on cutting-edge AI hardware design, from architecture through tape-out and deployment, with direct impact on the power efficiency of the world’s largest AI clusters
- **Notable perks**: Not publicly detailed, but the company’s focus on high-end engineering talent suggests competitive compensation, equity, and exposure to top-tier semiconductor and AI technology

## Sources
1. [velaura.ai](https://velaura.ai/introducing-velaura-ai/)
2. [velaura.ai](https://velaura.ai/team/)
3. [velaura.ai](https://velaura.ai/low-power-ai-compute/)
4. [jobs.lever.co/velaura](https://jobs.lever.co/velaura/)
5. [linkedin.com](https://linkedin.com/company/velaura-ai-inc)
6. [wellfound.com](https://wellfound.com/company/velaura-ai) (Apollo data extracted on financials and headcount)

SUGGESTED_INDUSTRY: semiconductor-manufacturing-robotics-ai-infrastructure
_(Note: The above slug is not in the provided list. Closest match from the list is `artificial-intelligence`. However, given the company's core business is semiconductor design and power-efficient AI compute infrastructure, `manufacturing-robotics` or `infrastructure` also fit. For strict adherence to the provided list: `artificial-intelligence` is the best single choice.)_

## Other roles at Velaura

- [Office Admin / Receptionist](https://feeny.ai/job/office-admin-receptionist-velaura-santa-clara-asc5tq6ff9ze) — Santa Clara, CA
- [Sr Engineer CAD Pre-Silicon Front End](https://feeny.ai/job/sr-engineer-cad-pre-silicon-front-end-velaura-santa-clara-91g66vhzqqt3) — Santa Clara, CA
- [RTL Power Engineer](https://feeny.ai/job/rtl-power-engineer-velaura-santa-clara-jyj4n03rckrf) — Santa Clara, CA
- [Design Verification Engineer- AI Accelerator](https://feeny.ai/job/design-verification-engineer-ai-accelerator-velaura-santa-clara-15tk23smaz5x) — Santa Clara, CA
- [Design Verification Engineer- CPU](https://feeny.ai/job/design-verification-engineer-cpu-velaura-santa-clara-d1bkx2h2dj9g) — Santa Clara, CA
- [Physical Verification Engineer (Staff / Sr. Staff)](https://feeny.ai/job/physical-verification-engineer-staff-sr-staff-velaura-bengaluru-4k6ypqtyjv23) — Bengaluru, India
- [CAD & Engineering Infrastructure Lead](https://feeny.ai/job/cad-engineering-infrastructure-lead-velaura-santa-clara-eca75sba2s9n) — Santa Clara, CA
- [Senior Technical Recruiter – Engineering](https://feeny.ai/job/senior-technical-recruiter-engineering-velaura-santa-clara-v66mv6d4ghqd) — Santa Clara, CA
- [Principal AI SoC Runtime Software Architect](https://feeny.ai/job/principal-ai-soc-runtime-software-architect-velaura-santa-clara-bf6ceyep3azn) — Santa Clara, CA
- [Senior Engineering Program Manager](https://feeny.ai/job/senior-engineering-program-manager-velaura-santa-clara-73yycn9ge0f3) — Santa Clara, CA