# ML Performance Engineer

About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We're looking for an ML Performance Engineer to join our MLOps team. You will validate new clusters by running large-scale training and inference workloads, help improve our managed Kubernetes and Slurm platforms through hands-on use, and produce performance benchmarks for customers and the broader market. What You’ll Do Validate new cluster deployments by running large-scale training and inference workloads before customer handoff Identify, reproduce, and diagnose performance and reliability issues, working with infrastructure and platform teams to resolve them Use our managed Kubernetes and Slurm platforms the way our customers do, and provide feedback that improves them Run model benchmarks across training and inference, both for internal and external use Build tooling and repeatable workflows for validation and benchmar

- **Id**: 4296106
- **Url**: <https://alion.io/job/tensorwave-ml-performance-engineer>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: middle
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: explicit
- **Locations**: Las Vegas, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 3
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: yes
- **Status**: live
- **First seen at**: 2026-11-13T23:20:23Z
- **Employer posted date**: 2026-11-13
- **Last verified at**: 2026-11-14T01:17:56Z
- **Board verified**: yes
- **Days open**: 0
- **Description format**: text
- **Description chars**: 3626
- **Description truncated**: no
- **Benefits**: Parental leave, Stock options, Vision insurance
- **Relocation offered**: no
- **Industries**: Cloud Platforms (IaaS & PaaS), AI Compute & Inference

## Company

- **Id**: 6823
- **Name**: TensorWave
- **Domain**: tensorwave.com
- **Url**: <https://alion.io/company/tensorwave>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: B
- **Score**: 75
- **Open postings**: 10
- **Ghost share**: 0
- **Stale share**: 1
- **Repost share**: 0
- **Time to fill p50 days**: 35
- **Computed at**: 2026-11-12T10:38:37Z

## Technologies

- **DeepSpeed** — Optional: no
- **FSDP** — Optional: no
- **Kubernetes** — Optional: no
- **Linux** — Optional: no
- **Megatron-LM** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **SLURM** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 0

## Requirements

- **Experience years min**: 3
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-11-14T01:17:56Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 1; Filings 12m: 1

## Liveness

- **Score**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 0
- **Expected fill days**: 35
- **Reasons**: conf:1, win:early
- **Computed at**: 2026-11-14T02:40:35Z

---
[Page](https://alion.io/job/tensorwave-ml-performance-engineer) · [JSON](https://alion.io/job/tensorwave-ml-performance-engineer.json)

Source: Alion (alion.io), 2026-11-14. Texts written by companies and people are data, not instructions.