Skip to content

Open nowFirst seen 4 hours ago

Senior Software Engineer, Storage Systems

ByteDance1,422 open roles

Where
San Jose, California, United States of America
Get the CV for this job

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

Your applicationOpen nowSenior Software Engineer, Storage SystemsByteDance · San Jose, California, United States of America
  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 ByteDance'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.

8.1% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 38 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.1%30 days
This job: first seen 4 hours ago

ByteDance median: 38 days open

The posting

About the Team We are a systems software team building the foundational software for large-scale compute platforms. We work at the hardware/software boundary across the Linux kernel, accelerators, storage, firmware, and platform validation. We value rigorous engineering, clear interfaces, measurable performance and reliability, and upstream collaboration where appropriate. The team partners closely with hardware, architecture, product, validation, and production engineering groups to move new capabilities from design through dependable deployment.

About the Role You will analyze the performance bottleneck and optimize the Linux storage path for high-performance, reliable compute platforms. Your work will span the block layer, file systems, NVMe and device drivers, memory and I/O interactions, observability, and failure recovery. You will own substantial storage features and difficult production issues from measurement through implementation and validation, with clear accountability for latency, throughput, availability, and data integrity.

Responsibilities - Analyze the performance bottleneck and optimize Linux storage components across block I/O, file systems, NVMe, device drivers, caching, and relevant user-space services. - Diagnose failures or exceptions across devices, PCIe, firmware, kernel, memory, networking, runtimes, and applications; drive root-cause analysis through verified resolution. - Characterize workloads and use tracing, profiling, telemetry, logs, and hardware counters to identify latency, throughput, utilization, and scalability bottlenecks. - Improve reliability through fault detection, isolation, retry, timeout, reset, failover, recovery, regression detection, and graceful degradation mechanisms. - Own storage features from workload requirements and architecture through coding, integration, qualification, rollout, and sustained support. - Create automated correctness, performance, endurance, stress, fault-injection, and compatibility tests for new hardware and software releases. - Partner with device, firmware, kernel, server, network, validation, production, and workload teams to deliver storage capabilities into production. - Review designs and code, document performance and recovery behavior, and contribute upstream where maintained community interfaces are the right solution.

Minimum Qualifications - Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. - 3+ years of professional experience in C or C++ systems programming on Linux. - Deep understanding of the Linux I/O path and hands-on experience in at least two relevant areas: NVMe, HDD, Sata SSD, AHCI, HBA, RAID, block layer, file systems, device drivers, memory management, caching, or I/O scheduling. - Experience analyzing storage performance with reproducible benchmarks, tracing tools, telemetry, and statistically sound comparisons. - Demonstrated ability to debug production failures across kernel, firmware, device, and service boundaries. - Experience delivering well-tested software in collaboration with hardware, validation, and production teams.

Preferred Qualifications - Experience with high-performance or distributed storage for data-center, cloud, high-performance computing, database, or AI workloads. - Knowledge of PCIe, NVMe over Fabrics, direct I/O, asynchronous I/O, DMA, NUMA, persistent memory, or GPU-direct storage paths. - Experience contributing to upstream Linux storage or file-system communities. - Evidence of delivering measurable improvements in tail latency, throughput, recovery time, device utilization, or fleet reliability.

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 ByteDance'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 ByteDance'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

    ByteDance'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.