Summer 2026

Software Engineer Intern

Compiler

Posted on 4/28/2026

Quadric

Quadric

51-200 employees

GPNPU hardware and software for ML

Compensation Overview

$45 - $60/hr

Burlingame, CA, USA

In Person

Bay Area residency or relocation required; on-site internship in Burlingame.

Bachelor's, Master's, PhD

Category
Software Engineering
Required Skills
Python
C/C++

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Requirements
  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
  • Strong proficiency in Python and C++.
  • Foundational understanding of compiler concepts: intermediate representations, dataflow analysis, and transformation passes.
  • Comfort reading and reasoning about large, unfamiliar codebases.
  • Demonstrated capability in problem-solving, debugging, and clear technical communication.
Responsibilities
  • Develop & Implement: Help build and extend compiler passes that lower neural network IR to GPNPU-targeted code.
  • Analyze & Debug: Diagnose compilation issues by tracing problems from generated C++ back through the pipeline. Use IR dumps and static analyses to investigate compilation failures and performance regressions.
  • Code Optimization: Work alongside senior engineers to improve compiler decisions to reduce data movement and increase core utilization.
  • Collaborate: Partner with the kernel, hardware, and data science teams to align compiler features with real model requirements and hardware constraints.
  • Toolchain Contribution: Contribute to test infrastructure, debugging utilities, and developer ergonomics across the CGC pipeline and runtime.
Desired Qualifications
  • Coursework or project experience with compilers, program analysis, or domain-specific languages.
  • Exposure to ML compiler frameworks such as TVM, MLIR, XLA, Glow, or IREE.
  • Familiarity with neural network quantization, fixed-point arithmetic, or numerical analysis.
  • Experience with hardware-aware code generation for accelerators (GPU, DSP, NPU).
  • Some exposure to assembly or low-level code generation.
  • Previous internship experience in compilers, ML systems, or performance engineering.

Quadric.io builds an integrated hardware-software stack for ML on System-on-Chips, centered on its Chimera GPNPU. It combines matrix and vector compute with scalar control code in a single execution pipeline, removing the need to split code across different processors. It sells Chimera hardware and licenses tools like the Chimera LLVM C Compiler, Chimera Instruction Set Simulator, and a Software Development Kit to design, simulate, profile, and deploy ML workloads written in C. Its goal is to simplify and speed up the design of ML-enabled SoCs for semiconductor developers and manufacturers, delivering faster time-to-market and better ML performance through a tightly integrated stack.

Company Size

51-200

Company Stage

Series C

Total Funding

$94.3M

Headquarters

Burlingame, California

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • Quadric tripled product revenues in 2025 and reached profitability before July 13, 2026 funding.
  • July 13, 2026 IFC-led financing extended Series C to $46 million and $90 million total.
  • Management targets automotive, AI PCs, humanoid robotics, wearables, and networking, broadening near-term license demand.

What critics are saying

  • Synopsys and Cadence keep expanding edge-AI IP, crushing Quadric with broader toolchains.
  • Customer concentration stays dangerous; January 2026 wins are unnamed and Tier IV remains single-logo proof.
  • If AI models standardize around fixed NPU kernels, Quadric's programmability premium evaporates by 2027.

What makes Quadric unique

  • Quadric's Chimera unifies scalar code, DSP, and ML inference in one programmable IP.
  • January 14, 2026 design wins with Tier IV and an Asia LLM vendor validate versatility.
  • Quadric sells software-updatable silicon, letting customers port new models without respinning chips.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-6%

2 year growth

-5%
PR Newswire
Jul 14th, 2026
Quadric extends Series C to $46M with second close led by world bank's IFC.

Quadric extends Series C to $46M with second close led by world bank's IFC. Jul 13, 2026, 21:00 ET New investment links Quadric with the governments and industries building their own AI, and a market hyperscale datacenters can't serve * Prior lead investors doubled down. Pear VC, Uncork Capital, and BEENEXT that led Quadric's seed and its Series C first close increased their stakes as its design-win footprint expands. * IFC is backing Quadric in its first AI chip investment as it will help reach markets that hyperscaler-dependent solutions cannot serve. * $90 million raised. Funded to support today's customers and win the incoming wave in humanoid robotics, wearables, and networking. BURLINGAME, Calif., July 13, 2026 /PRNewswire/ - Quadric announced the second close of its Series C as it accelerates deployment of its programmable AI chip platform. Designed to run any AI model directly on the device, Quadric's technology supports a growing shift toward secure, locally controlled AI infrastructure. Led by the International Finance Corporation, the round brings Quadric's Series C to $46 million, with total capital raised reaching $90 million. The capital will expand Quadric's support and go-to-market teams for existing customers in automotive, AI PCs, and enterprise, and incoming customers in humanoid robotics, wearables, and networking. Existing investors increased their investment in this close: Pear VC, which led Quadric's seed round; Uncork Capital; and BEENEXT, which led the round's first close. Offline Ventures, co-founded by Facebook Platform creator Dave Morin and former Apple executive James Higa, joined as a new investor. The first close of Series C, announced in January 2026, followed a year in which Quadric product revenues more than tripled and the company reached profitability. IFC has committed more than $3 billion to technology ventures in emerging markets. "Quadric addresses one of the most important structural gaps in the AI ecosystem today," said Mohamed Eissa, Chief Investment Officer at IFC. "Powerful AI cannot remain the exclusive domain of hyperscalers if emerging markets are going to close the digital divide. Quadric's programmable architecture fundamentally changes the economics: SMEs in emerging markets can now deploy AI on devices they own, without the per-token cloud bills that price them out. That productivity gain directly levels the playing field between small businesses in emerging and developed markets. And critically, building this class of efficient, programmable chips creates exactly the kind of high-value semiconductor and AI engineering talent that emerging markets like India need to compete globally." "A chip feature set is locked years before it ships, and AI models change every few months, so an operator-centric, fixed-function NPU arrives behind the models and only falls further back," said Veerbhan Kheterpal, CEO and co-founder of Quadric. "Quadric is a living platform: because the stack is software, the same chip runs new models and gets faster long after it ships. That's the difference between silicon that depreciates and silicon that compounds. Ask our customers." "Every NPU gets judged the day a new model drops," said Daniel Firu, co-founder and Chief Product Officer of Quadric. "We port new models to Chimera cores and our customers take them as a software update, no silicon change. That porting machine is the product: the same core runs models published years after the silicon was designed." "We're excited to keep backing Quadric as it pursues a massive opportunity. AI is moving outside the datacenter, and chip companies need silicon that can run tomorrow's models, not just today's. Quadric is solving that, and the design wins are proving it out. We led Quadric's seed round and doubled down in this round because, from day one, we've seen firsthand how innovative this team is, and how strong they are in both the technology and the execution it takes to win," said Mar Hershenson, Founding Managing Partner of Pear VC, which led Quadric's seed round. Chimera Processors Surpass Conventional NPUs The Chimera GPNPU scales from 1 to over 3200 TOPS in multi-chiplet configurations and supports an endless array of AI models, both convolutional and transformer-based, ranging from traditional computer vision to on-device LLM inference and emerging VLA world models. Chimera processors deliver a single programmable architecture that chip designers deploy once and adapt as AI model requirements evolve. Quadric's software toolchain converts AI models into C++, as well as enabling SoC design teams to write code in Python or C++. About Quadric Quadric Inc. is the leading licensor of fully programmable general-purpose AI inference processor IP that runs both AI inference workloads and classic DSP and control algorithms. Quadric's Chimera GPNPU architecture is optimized for on-device AI/ML inference, including automotive-grade safety enhanced versions. Quadric is headquartered in Burlingame, California. Learn more at www.quadric.ai. SOURCE Quadric, Inc.

Third News
Jul 14th, 2026
Quadric secures $46M Series C led by IFC to expand programmable AI chip solutions

Quadric has extended its Series C funding round to $46 million, led by the International Finance Corporation (IFC). The investment brings the company's total funding to over $90 million. Existing investors Pear VC, Uncork Capital, and BEENEXT increased their stakes in the round. The company develops programmable AI chips designed for on-device applications, targeting sectors including automotive technology, AI personal computers, and enterprise solutions. Quadric plans to use the capital to expand its teams and pursue opportunities in humanoid robotics, wearable devices, and networking technologies. IFC's involvement reflects its focus on emerging markets, where it has invested over $3 billion in tech ventures. The investment aims to make AI technology more accessible to small and medium enterprises in these regions, enabling them to deploy AI solutions without relying heavily on cloud infrastructure.

World News Network
Jul 14th, 2026
Quadric Extends Series C to $46M with Second Close led by World Bank's IFC

Quadric Extends Series C to $46M with Second Close led by World Bank's IFC

PR Newswire
Jan 14th, 2026
Quadric raises $30M Series C as on-device AI chip revenues triple and edge LLM design wins accelerate

Quadric, a provider of AI inference processor IP for on-device chips, has raised $30 million in an oversubscribed Series C round led by ACCELERATE Fund, bringing total funding to $72 million. Uncork Capital and Pear VC participated, alongside new investors including Volta and Wanxiang America. The company's product revenues more than tripled in 2025, driven by adoption of its Chimera processor IP across edge large language models, automotive and enterprise vision applications. Unlike fixed-function neural processing units, Chimera is fully programmable and can run any AI model on a unified architecture, scaling from 1 to 864 tera operations per second. Quadric recently secured two new licence agreements, including with Japan's Tier IV for autonomous driving applications. The funding will support customer success initiatives and product development.

AiThority
Dec 10th, 2025
Quadric Appoints Ravi Chakaravarthy as VP Software Engineering

Quadric appoints Ravi Chakaravarthy as VP Software Engineering. AMD and Broadcom veteran joins expanded executive team. Quadric announced the appointment of Ravi Chakaravarthy as Vice President, Software Engineering effective immediately. Chakaravarthy will lead Quadric's rapidly expanding software engineering organization, driving development of the company's market leading embedded AI software stack that powers Quadric Chimera(TM) AI processor IP. Quadric(R) announced the appointment of Ravi Chakaravarthy as Vice President, Software Engineering effective immediately Prior to joining Quadric, Chakaravarthy led software development for AMD's AI software stack for both datacenter and edge AI applications. He has deep hands-on expertise with AI/ML technologies for training and inference and has overseen open-source development for over 60 complex software projects. Before his six-year tenure at AMD, he led development teams at both Broadcom and at Hewlett-Packard, further broadening his leadership experience across the semiconductor and enterprise computing industries.

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