Conduit

Sarvam AI

Steady
www.sarvam.ai

Sarvam is India's full-stack sovereign AI platform, with speech-to-text, text-to-speech, translation, and conversational agents across 22 Indian languages. Start free.

Open roles
63
New role every
~1.4 days
Posting trend
2.4× vs prior 90d

Company signals

Score: 80
Repost rate (90d) 0% Wikipedia Yes Stale listings 0% GitHub org Yes Median listing lifespan 9 days New cities (90d) 2 HN mentions (90d) 4 Buzzword-heavy listings 14%

Job facts

Location
Bengaluru, India
Workplace
Onsite
Type
Full-time
Department
Infrastructure
Posted
Jun 04, 2026

Last verified live 1 day, 4 hours ago · checked directly on the company's Ashby

Applications powered by
Ashby
Apply to this job

Performance Engineer, On-Device Inference

at Sarvam AI


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

Take Sarvam models from research-handoff state to production-ready artifacts on at least two of our target chipsets (Intel xPU, ARM xPU, Apple xPU, Nvidia / AMD GPUs). You'll own 1 - 2 (model, chipset) pairs end-to-end and partner with the consuming app team during integration.

What You’ll Do

  • Quantize, validate accuracy, benchmark, and document. Author the deployment workbook for each pair you own.

  • Embed part-time with consuming teams during integration; debug perf and accuracy issues alongside them.

  • Maintain and extend the team's benchmark harness.

What We're Looking For

  • 3+ years on ML systems.

  • Solid PyTorch + ONNX export experience including the gotchas (dynamic shapes, control flow, custom ops).

  • Quantization in production on at least one real model.

  • Comfort with at least two of: ONNX Runtime, TensorRT, CoreML, OpenVINO, QNN, LiteRT.

  • Profiling fluency on at least one platform.

Bonus Points

  • Custom op authoring in any runtime.

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.