Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 132 days ago

Infrastructure SRE - HPC

Sarvam AI47 open roles

Where
Bengaluru
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowInfrastructure SRE - HPCSarvam AI · Bengaluru

  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 Sarvam AI'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.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Sarvam AI postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 132 days ago

Sarvam AI median: 20 days open

The posting

About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

About the Role

Sarvam runs a large, multi-vendor GPU fleet that serves two demanding workloads on the same physical infrastructure: training jobs that span hundreds of GPUs and must run uninterrupted for weeks, and inference services that must hold a flat p99 under production load. Keeping both healthy at once is a hard, specialized reliability problem, and it is the problem this team exists to solve.

This is not a Kubernetes administration role. We assume Kubernetes fluency as a baseline. The difficulty lies above and below it - in parallel filesystems under heavy checkpoint load, in RDMA fabrics that degrade quietly, in NCCL hangs whose root cause may be the network or the kernel, in driver and firmware drift across heterogeneous hardware, and in distributed training failures that masquerade as infrastructure faults.

We are hiring a team of specialists rather than a set of identical generalists. This posting covers five areas of focus. We expect candidates to bring genuine depth in one and working fluency across the others, because on a shared fleet a storage problem often first appears as a training hang, and the engineer on call must route an incident correctly before anyone can resolve it.

When you apply, please indicate the area of focus that best matches your experience. Strong generalists are welcome; we will place you where your depth is most useful.

What You’ll Do

- Operate the GPU fleet end to end across training and serving - provisioning, observability, capacity, and fleet health.

- Hold a meaningful on-call rotation, write runbooks that hold up under pressure, and drive postmortems that produce durable fixes.

- Build the internal tooling the team relies on, rather than operating off-the-shelf systems alone.

- Partner with ML and platform teams to keep large runs alive and serving latency predictable.

What We're Looking For

- 5+ years in infrastructure or site reliability engineering, including 2+ years operating GPU clusters at scale.*

- Demonstrated on-call ownership of infrastructure that mattered, with a track record of postmortems that led to real change.

- Proficiency in Python or Go, used to build and maintain internal tooling.

- Working fluency across all five areas of focus below - enough to recognize, triage, and route a problem outside your specialty, even if the fix belongs to a teammate.

* For the Storage and Fabric areas of focus, we will weigh deep domain expertise against the GPU-cluster requirement; exceptional specialists with less direct GPU-fleet time are encouraged to apply.

Bring depth in one of the five areas below; expect to be conversational across the rest.

1. Distributed high-performance storage — operate a parallel filesystem (Lustre, GPFS, WEKA, or BeeGFS) at scale and keep it from stalling under checkpoint-write storms.

2. Fabric & RDMA networking — InfiniBand or RoCE health, NVLink/NVSwitch topology, and RDMA debugging that catches degradation before the workload feels it.

3. GPU systems reliability — NCCL debugging, driver and firmware lifecycle across a mixed fleet, and DCGM-based node health at scale.

4. Kubernetes platform reliability — the GPU operator stack, scheduling (Slurm-on-k8s or pure k8s), multi-tenant isolation, and cost/SLO primitives.

5. Training & inference workload reliability — hang and straggler detection, checkpoint/restart, and protecting serving p99 with HA and DR.

Bonus Points

- Slurm and Kubernetes hybrid environments.

- On-premise GPU deployment, including coordination with datacenter operations on power, cooling, and InfiniBand cabling.

- Experience with Indian NCPs, DGX SuperPOD, Lambda, CoreWeave, NeevCloud etc.

- Multi-tenant GPU isolation (MIG, MPS, time-slicing) in production.

Why Sarvam?

Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.

Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar

High ownership and high impact, from day one

Everything we do is AI-first, from the way we build and ship to the way we think about problems

You can work on problems that could change how an entire country learns, works, and communicates

If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.

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 Sarvam AI'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 Sarvam AI'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

    Sarvam AI'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.

Get the CV for this 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.