Principal Software Architect

SiFive
Cambridge
3 days ago
Applications closed

Related Jobs

View all jobs

Principal Software Architect

Powertrain Software Engineer

Principal Software Engineer - Data Platform

Senior Software Engineer (GO/PHP)

Principal Engineer – Software Engineering

[Immediate Start] Principal Staff Software Engineer, AI andData Infrastructure

Principal Software Architect page is loaded

Principal Software Architect

Apply locations Cambridge, United Kingdom time type Full time posted on Posted 7 Days Ago job requisition id R-100181

About SiFive

As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits.

At SiFive, we are always excited to connect with talented individuals, who are just as passionate about driving innovation and changing the world as we are.

Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on peoples lives; making the world a better place, one processor at a time.

Are you ready?

To learn more about SiFive’s phenomenal success and to see why we have won the GSA’s prestigious Most Respected Private Company Award (for the fourth time!), check out ourwebsiteandGlassdoorpages.

Job Description:

Principal System and Software Architect

The Role:

Do you want to be part of the RISC-V revolution? RISC-V and SiFive are redefining computing platforms for the 21st century. As a System and Software Architect, you’ll play a leading role in designing and implementing these platforms, spanning software and hardware architecture and engineering.

In this position, you’ll play a lead role in designing and evaluating RISC-V computing systems. Unlike many larger companies, SiFive engineers can work cross-functionally, with full access to our software and hardware codebases.

The primary home for this role is in SiFive’s Software Engineering group, architecting and writing software that takes advantage of SiFive and RISC-V hardware features and integrates cleanly with existing operating systems, primarily Linux. You’ll help author and review architecture specifications for new hardware and software features, and will help plan and execute the work involved in implementation. You’ll be a part of creating something big - all based around the RISC-V instruction set architecture.

Responsibilities:

  • You will work with multiple engineering teams to architect, design, implement and deliver advanced CPU cores, subsystems, SoCs, and IP subsystems with emphasis on scalability, performance, reliability, and support of new hardware technologies.
  • Utilize your experience to create solutions to key architectural challenges for modern, high-level systems.
  • Design and help develop SiFive and RISC-V software.
  • Help plan and estimate complex software projects.
  • Collaborate cross-functionally to help plan how to test key features in complex system environments.

Requirements:

  • Experience developing low level code in C for multiprocessor, multithreaded operating systems such as the Linux kernel, BSD kernels, or other high level operating systems (HLOS).
  • Understanding of computer architecture at the CPU and system levels, VLSI design concepts and how they impact hardware and software architecture.
  • Experience writing and reviewing architecture specifications, both for hardware and software.
  • Experience with modern desktop and server ecosystems, including PCIe, Device Tree, ACPI, and UEFI.
  • Experience with the RISC-V ISA and RISC-V software ecosystem.
  • Experience working with RTL engineers and with RTL product lifecycles.
  • Strong communication skills.
  • Strong project leadership skills, including the ability to develop roadmaps, work breakdowns and estimates, and drive small projects.

Nice to have:

  • Experience with accelerated computing software and hardware stacks.
  • Experience with Linux distributions or distribution builders such as Debian, Red Hat Enterprise Linux, SLES, and Yocto.
  • Experience with C++, Rust, or SPARK/ADA.
  • Experience working in global teams and with cross-cultural communication.
  • Experience with virtualization and device passthrough workloads.

Additional Information:

This position requires a successful background and reference checks and satisfactory proof of your right to work in the United Kingdom. Any offer of employment for this position is also contingent on the Company verifying that you are authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals.

SiFive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us to make an impact today and define tomorrowJ-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.