Skip to content

Open nowFirst seen 4 hours ago

Software Engineer, HW/SW Co-Design

Meta1,071 open roles

Where
Bellevue, WA; Menlo Park, CA; New York, NY
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSoftware Engineer, HW/SW Co-DesignMeta · Bellevue, WA; Menlo Park, CA; New York, NY
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meta's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: first seen 4 hours ago

Meta median: 35 days open

The posting

Meta is seeking a software engineer to join our AI & Systems Co-Design team to drive the definition of our next-generation compute and storage architectures.

As a key member of the team you'll work closely with internal software and platforms engineering teams to drive workload analysis and understand infrastructure requirements. You will drive technology path-finding, roadmap definition and co-design activities to deliver new capabilities and efficient systems for our fleet. Furthermore, you'll work with external industry partners to influence their roadmaps and build the best products for Meta’s Infrastructure. As part of the team, you will have ample opportunities to publish your work in leading conferences, industry journals and make open source contributions.

Join our team and help shape one of the largest infrastructure footprints which powers Meta’s applications used by billions of people across the globe.

Responsibilities

  • Utilize extensive understanding of hardware architecture - CPUs (x86/ARM), Flash/HDD, memory and storage systems, networking, and GPUs - to identify key platform resource bottlenecks. Collaborate closely with software product teams to re-architect services, improve performance through algorithm redesign, reduce resource consumption
  • Develop representative benchmarks (in C++/Rust/Python/Hack) to capture fleet requirements and drive early evaluation of upcoming platforms. Drive fleet-wide detailed workload analysis and keep ahead of evolving business needs and impact to compute and storage performance
  • Identify novel hardware/software co-design opportunities based on industry trends and new paradigms
  • Conduct pathfinding activities to quantify the value proposition for Meta and drive the roadmap definition
  • Influence vendor hardware roadmaps and the broader ecosystem to align with Meta's requirements
  • Partner with Product Engineering and Infrastructure Engineering teams to find the optimal way to deliver the hardware roadmap into production and drive adoption

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor’s degree in Computer Science or equivalent technical experience
  • 5+ years of experience with programming and scripting languages such as C, C++, Rust, Java, PHP, Python
  • Experience with large-scale infrastructure, distributed systems, full-stack analysis of server applications
  • 5+ years of experience with hardware architecture, compute technologies and/or storage systems

Preferred Qualifications

  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with developing, debugging and analysis of distributed systems such as spark, distributed caching, data-preprocessing, AI training etc
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience working in a highly cross-functional environment in software organizations, hardware, supply chain, testing, and infrastructure teams
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master’s degree or PhD in Computer Science, or a related technical field
  • 3 years of experience in a technical leadership role, leading projects, driving technical direction and mentoring
  • Deep architectural knowledge of CPU, GPU, Accelerators, Networking, Memory, Flash/HDD Storage systems, DPU. Hands-on experience in building and optimizing server architectures/systems

US: $154,003/year to $217,000/year + bonus + equity

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Meta's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Meta's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Meta's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.