Full-Time

LLVM Principal Engineer

Posted on 9/12/2025

SiFive

SiFive

501-1,000 employees

Designs and sells RISC-V semiconductor cores

Compensation Overview

$223.6k - $273.2k/yr

+ Variable/ incentive compensation + Equity

Santa Clara, CA, USA

In Person

Category
Software Engineering (3)
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Required Skills
C/C++
Requirements
  • Proficient in compiler design and in performance analysis tools
  • 5+ years of compiler development experience including 3+ years of experience in LLVM with a focus in compiler backend
  • Expertise in LLVM vectorization and other LLVM IR and backend optimizations
  • M.S. or higher degree in Computer Science/Engineering (or equivalent experience)
  • Excellent hands-on C/C++ programming skills applied to industry standard C/C++ compilers
  • Good communication and documentation skills and self-motivation
  • You should have strong interpersonal skills and be capable of leading and influencing others in the organization and in the communities
Responsibilities
  • Work with SiFives architecture teams to improve performance for SiFive CPUs, vector processors and accelerators
  • Work with SiFives benchmarking and libraries team to analyze performance results and suggest new backend optimizations and additional improvements to the generated code
  • Work with SiFives release teams ensure high quality releases to SiFive customers
  • Work with SiFives field team and customers to analyze problems, suggest solutions and continuously improve SiFive software.
  • Work with RISC-V and LLVM ecosystem and developer communities to build and improve RISC-V open source software solutions around the globe.
Desired Qualifications
  • AI/ML software stack development
  • MLIR optimizations
  • Parallel programming models and corresponding components development, compilers and runtimes
  • Heterogeneous and multiprocessing systems programming
  • Performance libraries development
  • Software profiling and optimizations
  • HW/SW co-design experience
  • Track of records of contribution in open source communities
  • GPU/NPU programming
  • Working experience in popular compilers

SiFive designs and sells RISC-V based processors and related semiconductor IP. Its cores and system-on-chip designs use the open RISC-V instruction set, allowing customers to integrate high-performance, energy-efficient computing into autos, data centers, wearables, and other devices. By leveraging an open standard, SiFive offers flexible, scalable, and cost-effective solutions that can pack more compute density into smaller chips with lower power use. The company aims to grow the RISC-V ecosystem and help customers tackle data-intensive workloads across industries with practical, deployable hardware.

Company Size

501-1,000

Company Stage

Series G

Total Funding

$772.5M

Headquarters

San Mateo, California

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • Hyperscalers (Meta, Google, Qualcomm) standardizing RISC-V for sovereign chip design.
  • Automotive industry adoption through Quintauris partnership accelerates ecosystem maturity.
  • Data center CPU market heating up; SiFive targets $100B+ addressable market pre-IPO.

What critics are saying

  • ARM pivoted to direct chip sales, competing with SiFive's IP licensing model.
  • Hyperscalers may develop in-house RISC-V IP to eliminate per-chip royalties.
  • x86 and ARM incumbents control 90%+ datacenter share with entrenched software ecosystems.

What makes SiFive unique

  • RISC-V open standard eliminates licensing fees versus ARM and x86 incumbents.
  • Nvidia NVLink Fusion integration and CUDA porting enable GPU-CPU coherency for AI.
  • 2nd Gen Intelligence family combines scalar, vector, matrix compute for edge-to-datacenter AI.

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Benefits

Health Insurance

401(k) Retirement Plan

Paid Vacation

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-1%
Byteiota
Apr 14th, 2026
Nvidia backs SiFive at $3.65B: RISC-V enters data center battle.

Nvidia backs SiFive at $3.65B: RISC-V enters data center battle. 5 hours ago 0 On April 9, 2026, SiFive raised $400 million in a Series G funding round at a $3.65 billion valuation, with Nvidia joining as a new strategic investor. Led by Atreides Management and backed by Apollo Global Management, Point72 Turion, and T. Rowe Price, this oversubscribed round marks SiFive's final private raise before an anticipated IPO. The significance isn't just the money - it's Nvidia's strategic bet that RISC-V, the open-source CPU architecture, is ready for AI data centers. RISC-V CPUs can now plug into Nvidia's GPU infrastructure through NVLink Fusion, and Nvidia is porting CUDA to the RISC-V RVA23 profile. This puts RISC-V on equal footing with x86 and ARM in AI workloads. For developers, that's the headline: the open-source instruction set architecture just became a viable alternative to Intel, AMD, and ARM in the one market that matters most - AI infrastructure. Why Nvidia is betting on RISC-V. Nvidia doesn't make CPUs, but it needs a healthy CPU ecosystem to sell GPUs. X86 is controlled by Intel and AMD (competitors), and ARM's licensing model creates friction. RISC-V offers Nvidia a neutral, open partner with no vendor lock-in. The numbers back Nvidia's bet. RISC-V hit 25% global market share in 2026, up from 2.5% in 2021. Meta acquired Rivos, Qualcomm bought Ventana Micro for $2.4 billion, and Google is porting its software stack to RISC-V. This is strategic infrastructure planning by hyperscalers breaking the x86/ARM duopoly. In January 2026, SiFive integrated Nvidia's NVLink Fusion, enabling coherent connectivity between RISC-V CPUs and Nvidia GPUs. Combined with Nvidia's CUDA port to RISC-V, the last technical barrier to enterprise adoption is gone. System builders can now choose x86, ARM, or RISC-V CPUs for Nvidia's AI infrastructure - and RISC-V is the only option with zero licensing fees. Open source hardware's Linux moment. RISC-V's trajectory mirrors Linux disrupting proprietary Unix: no licensing fees, no vendor lock-in, freedom to customize. Companies building AI data centers can add domain-specific instructions for AI workloads without waiting for Intel, AMD, or ARM's roadmap. The technical advantages matter. RISC-V's modular design reduces power consumption - critical for massive AI clusters. SiFive's data center CPUs target 200W TDP versus 250W for comparable x86 chips. For hyperscalers spending billions on power infrastructure, that efficiency gap compounds. Real-world adoption is accelerating. Meta, Qualcomm, and Google are deploying RISC-V internally, and the automotive industry standardized on RISC-V through the Quintauris joint venture (Bosch, BMW, Infineon, NXP, Qualcomm) in early 2026. Industry analysts predict RISC-V-native data centers will emerge by 2027. IPO plans signal ecosystem maturity. CEO Patrick Little confirmed to Reuters that the April 2026 Series G is SiFive's final private round before an IPO, though no exchange or timeline has been announced. At $3.65 billion, SiFive is the most valuable pure-play RISC-V company. SiFive reported record growth in 2025, with over 500 semiconductor designs and 10+ billion RISC-V cores shipped, targeting a $100+ billion addressable market in data center CPUs. An IPO validates the entire RISC-V ecosystem. Public markets don't bet on science projects - if SiFive goes public, it proves open-source CPU architectures can compete with Intel, AMD, and ARM in data centers. What developers should watch. RISC-V isn't vaporware. The toolchain is ready: GCC and LLVM have full support, major operating systems run on RISC-V, and Nvidia's CUDA port means GPU-accelerated workloads will work. Developers should add RISC-V targets to CI/CD pipelines for future-proofing, watch for RISC-V instance offerings from AWS, Google Cloud, and Azure by 2028-2029, and monitor AI framework support as TensorFlow and PyTorch add RISC-V optimizations. The performance trade-off is real. Early RISC-V chips lag x86 and ARM in single-threaded workloads but excel in power efficiency and massively parallel AI tasks. The sweet spot is AI inference and training, not general-purpose computing - yet. ARM isn't sitting still. Industry projections suggest ARM will power 90% of AI servers using custom processors by 2029, leaving 10% for x86 and RISC-V combined. RISC-V is credible, not dominant. The takeaway. Nvidia's $400 million bet isn't about RISC-V replacing x86 or ARM tomorrow - it's about breaking the duopoly and ensuring Nvidia has a neutral, open CPU partner. RISC-V hit 25% market share, secured a $3.65 billion valuation, and cleared the IPO bar. For developers, RISC-V support is coming to your tools, frameworks, and cloud providers. Whether it becomes dominant or a strong third pillar alongside x86 and ARM, ignoring RISC-V in 2026 means ignoring where AI infrastructure is headed. Open-source hardware is following the same trajectory as open-source software - slow adoption, then sudden ubiquity. I am a playful and cute mascot inspired by computer programming. I have a rectangular body with a smiling face and buttons for eyes. My mission is to cover latest tech news, controversies, and summarizing them into byte-sized and easily digestible information.

TechCrunch
Apr 11th, 2026
Nvidia-backed SiFive hits $3.65 billion valuation for open AI chips | TechCrunch

The deal is interesting for a number of reasons, including that SiFive's chip designs are based on RISC-V, not x86 or ARM.

HedgeCo.Net
Apr 10th, 2026
Point72 joins $400M bet on RISC-V architecture:

Point72 joins $400M bet on RISC-V architecture: Why hedge funds are moving deeper into "agentic AI" Infrastructure and betting on the future of open-standard chips. (HedgeCo.Net) In a move that underscores the accelerating convergence between hedge fund capital and next-generation technology infrastructure, Point72 - through its venture arm Point72 Turion - has joined NVIDIA and Apollo Global Management in a $400 million Series G funding round for SiFive, a leading developer of processors based on the open-standard RISC-V architecture. The investment is more than just another venture capital allocation. It represents a growing strategic shift among hedge funds toward "agentic AI" infrastructure - the hardware layer that will underpin the next wave of artificial intelligence systems capable of autonomous decision-making, reasoning, and execution. At the center of this transformation lies a fundamental question: who will control the architecture of the AI-driven economy? The rise of RISC-V: A quiet revolution. To understand the significance of the investment, one must first understand the importance of RISC-V. Unlike proprietary chip architectures such as ARM or x86, RISC-V is an open-standard instruction set architecture (ISA). This means that companies can design and build custom processors without paying licensing fees or being tied to a single vendor's ecosystem. In a world increasingly dominated by AI workloads, this flexibility is invaluable. RISC-V allows companies to tailor chips specifically for AI inference, edge computing, and data center optimization - areas where traditional architectures may be less efficient or more costly. For firms like SiFive, this creates an opportunity to position themselves at the forefront of a new era in semiconductor design. Why hedge funds care about chips. At first glance, a hedge fund investment in semiconductor architecture may seem unusual. But for firms like Point72, the logic is clear. Hedge funds are no longer just trading financial assets - they are increasingly allocating capital across the full stack of innovation, from software to infrastructure to hardware. The rationale is twofold: * Information Edge: By investing directly in emerging technologies, hedge funds gain insights into trends that can inform their public market strategies. * Return Potential: Early-stage investments in transformative technologies offer the potential for outsized returns, particularly in sectors with massive total addressable markets. In the case of RISC-V, both factors are at play. The architecture sits at the intersection of several powerful trends, including AI, cloud computing, and geopolitical shifts in technology supply chains. Agentic AI: the next frontier. The term "agentic AI" refers to systems that can act autonomously - making decisions, executing tasks, and adapting to new information without direct human intervention. These systems require significantly more computational power than traditional AI models, as well as specialized hardware optimized for their unique workloads. This is where RISC-V comes in. By enabling custom chip designs, RISC-V allows developers to create processors tailored specifically for agentic AI applications. This could include everything from autonomous vehicles to intelligent financial systems to advanced robotics. For investors, the implication is profound: the companies that control the hardware layer of agentic AI could capture a significant share of the value created by this technology. NVIDIA's strategic positioning. The participation of NVIDIA in the funding round adds another layer of significance. NVIDIA has emerged as the dominant player in AI hardware, with its GPUs serving as the backbone of modern machine learning infrastructure. However, the company is also acutely aware of the limitations of existing architectures. By investing in SiFive and RISC-V, NVIDIA is effectively hedging its own dominance, ensuring that it remains at the forefront of any shift toward new architectures. This strategy reflects a broader trend among leading technology companies: the recognition that the next wave of innovation may require fundamentally different approaches to hardware design. Apollo's role: private capital meets deep tech. The involvement of Apollo Global Management highlights the growing role of private capital in funding advanced technology development. Traditionally, semiconductor innovation has been driven by a combination of corporate investment and government support. Today, private equity and alternative asset managers are playing an increasingly important role. Apollo's participation suggests that RISC-V is not just a speculative bet, but a strategic investment with long-term commercial potential. For firms like Apollo, the appeal lies in the ability to deploy large amounts of capital into high-growth sectors with the potential for significant value creation. Geopolitics and the push for open standards. One of the most important drivers of interest in RISC-V is geopolitics. In recent years, tensions between major economies have led to increased scrutiny of technology supply chains. Governments and companies alike are seeking to reduce their dependence on foreign technology providers. RISC-V offers a potential solution. As an open-standard architecture, it is not controlled by any single country or company. This makes it an attractive option for nations looking to develop their own semiconductor capabilities. For investors, this geopolitical dimension adds another layer of opportunity - and risk. On one hand, increased adoption of RISC-V could drive significant growth. On the other hand, geopolitical tensions could create volatility and uncertainty. The economics of chip design. The semiconductor industry is notoriously capital-intensive. Designing and manufacturing chips requires significant upfront investment, as well as ongoing research and development. For companies like SiFive, securing funding is critical to maintaining competitiveness. The $400 million raised in the Series G round will likely be used to: * Expand product development * Scale engineering teams * Strengthen partnerships with manufacturers and customers For investors, the key question is whether SiFive can translate this capital into sustainable competitive advantage. Competition and the path forward. While RISC-V holds significant promise, it is not without competition. Established architectures such as ARM and x86 continue to dominate the market, supported by extensive ecosystems and developer communities. Breaking into this market will require not only superior technology, but also the ability to build a robust ecosystem of partners and users. SiFive's success will depend on its ability to: * Deliver high-performance, cost-effective solutions * Attract developers and customers * Navigate complex industry dynamics Hedge funds and the evolution of capital allocation. The investment by Point72 is part of a broader trend in which hedge funds are expanding their scope beyond traditional strategies. Firms are increasingly allocating capital to: * Venture capital and private equity * Infrastructure and real assets * Direct investments in technology companies This evolution reflects a recognition that the most significant opportunities may lie outside public markets. For Point72, the investment in SiFive represents a strategic move to position itself at the forefront of technological change. The bigger picture: AI infrastructure arms race. The race to build the infrastructure for AI is intensifying. Companies, governments, and investors are pouring billions of dollars into data centers, chips, and software platforms. This arms race is driven by the belief that AI will be a defining technology of the 21st century. In this context, the investment in RISC-V can be seen as part of a broader effort to secure a foothold in the foundational layers of the AI ecosystem. For hedge funds, this is not just about returns - it is about staying relevant in a rapidly changing world. Risks and uncertainties. Despite the excitement surrounding RISC-V, there are significant risks to consider. * Execution Risk: Can SiFive deliver on its technological promises? * Market Adoption: Will customers embrace RISC-V at scale? * Competitive Pressure: How will established players respond? * Geopolitical Risk: How will global tensions impact the industry? Investors must weigh these risks against the potential rewards. Conclusion: A strategic bet on the future. Point72's participation in the $400 million funding round for SiFive is more than just a financial investment - it is a strategic bet on the future of computing. As AI continues to reshape industries, the importance of underlying hardware will only increase. RISC-V, with its open-standard approach, offers a compelling vision of that future. For hedge funds, the move into AI infrastructure represents a natural evolution - one that blurs the line between investing and innovation. And while the outcome of this bet remains uncertain, one thing is clear: the race to define the architecture of the AI era is just beginning.

Reuters
Apr 9th, 2026
SiFive raises $400 million from Atreides, Nvidia for data-center chip technology

Silicon Valley startup SiFive said on Thursday it has raised a $400 million round of funding from Atreides Management, Nvidia and others to ​enter the booming market for data-center central processor chips.

Bloomberg L.P.
Apr 9th, 2026
SiFive Raises $400 Million to Expand AI Data Center Technology

Chip startup SiFive Inc. received $400 million in funding from a group of investors led by Atreides Management, money the company plans to use to get a bigger foothold in AI data centers.

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