---
title: 'Senior Machine Learning Engineer at TensorWave'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-tensorwave-las-vegas-f72nvb4xpww3'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Machine Learning Engineer at TensorWave

- **Company:** TensorWave
- **Location:** Las Vegas, NV
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-11-17
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/tensorwave/a8d30c84-6cda-4504-ae3d-f427b46d42c3/application

**Skills:** SLURM, Kubernetes, GPU-accelerated workloads, Distributed systems, Linux, Python, Go, Machine Learning Infrastructure, Scheduler management, Orchestration platforms, Cluster managers, HPC-style systems

> Build and operate core systems for large-scale ML training and inference across GPU platforms. Responsibilities include workload orchestration, cluster operations, performance optimization, and developer enablement.

## Job description

## 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 a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for building and operating the core systems that power large-scale ML training and inference across TensorWave’s GPU platform, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

## What You’ll Do

- Design, operate, and improve ML infrastructure systems supporting distributed training and inference workloads
- Build reliable, repeatable workload execution and orchestration patterns across shared GPU environments
- Troubleshoot performance, reliability, and scalability issues across the ML stack
- Partner with ML, systems, and platform teams to improve developer experience and operational efficiency

## Who You Are

Required Qualifications

- Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
- Expertise supporting production ML systems using SLURM and Kubernetes
- Strong understanding of GPU-accelerated workloads and distributed systems concepts
- Solid Linux fundamentals and experience debugging infrastructure-level issues
- Ability to build automation and tooling - Python, Go, etc.

## Preferred Qualifications

- Experience working across schedulers, orchestration platforms, or cluster managers
- Familiarity with large-scale GPU environments or HPC-style systems
- Experience improving infrastructure reliability, utilization, or performance at scale

## What We Offer

- Stock Options
- 100% paid Medical, Dental, and Vision insurance for Employees
- Company Health Savings Account Contributions
- 100% paid Short Term and Long Term Disability Insurance for Employees
- Life and Voluntary Supplemental Insurance Options
- Other Insurance Options, such as Pet & Legal Insurance
- Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
- Flexible Spending Account
- 401(k)
- Employee Assistance Program
- Flexible PTO
- Paid Holidays
- Parental Leave
- Other In-Office Perks

## Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

## About TensorWave

## Company Overview
- **One-liner**: TensorWave is an AMD-exclusive AI cloud provider offering bare-metal and cloud infrastructure for training, fine-tuning, and inference of large-scale AI models.
- **Entity Type**: Private (Series B)
- **Headquarters**: Las Vegas, Nevada, United States
- **Founded**: 2023
- **Founders**: Darrick Horton (CEO & Founder)

## Core Business
- **Primary Industry**: AI Cloud Infrastructure / GPU-as-a-Service
- **Target Customers**: Enterprises, research institutions, AI engineering teams (B2B)
- **Mission / Purpose**: “We empower the next wave of AI – building seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.” ([tensorwave.com/about](https://tensorwave.com/about))

## Products & Services
- **TensorWave AI Cloud (Bare Metal)**: Dedicated, high-performance compute instances built on the latest AMD Instinct™ accelerators (MI300X, MI325X, MI355X, MI455X). Offers zero virtualization overhead, direct hardware access, and full control. Supports popular frameworks (PyTorch, TensorFlow, etc.) with plug-and-play compatibility. Includes 24/7 monitoring, SOC 2 Type II, ISO 27001, and HIPAA compliance. ([tensorwave.com](https://tensorwave.com/))

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric (Funding)**: Total funding of **$498M** (conflicting reports – some sources list $146.7M prior to the latest round). The most recent round is a **$350M Series B** announced in mid-2025. ([cbinsights.com](https://www.cbinsights.com/company/tensorwave))
- **Notable Investors / Partners**: AMD Ventures, Magnetar Capital, Nexus Venture Partners, FundNV
- **Growth Signals**: Headcount grew **141.5% YoY** to ~87 employees; 30 active job postings; monthly LinkedIn follower growth of 3.8% (12,347 followers); expansion into South Korea.

## Competitive Advantages
- **AMD‑Exclusive Cloud**: Offers the only major cloud built entirely on AMD Instinct accelerators, providing a vendor‑neutral alternative to NVIDIA‑dominated platforms.
- **No Vendor Lock‑in**: Open ecosystem (ROCm, standard libraries) lets teams avoid proprietary CUDA lock‑in, future‑proofing AI workloads.
- **Massive Memory & Bandwidth**: MI355X/MI455X accelerators deliver extreme HBM capacity for largest frontier models.
- **Enterprise Readiness**: SOC 2, ISO 27001, HIPAA compliance, hands‑on solution engineers, and dedicated support.

## Strategic Focus
- **Scaling AMD GPU Capacity**: Aggressively expanding data center footprint (Las Vegas and international) to meet surging demand for AI compute.
- **Open Infrastructure**: Continuing to build open, interoperable tools and services that reduce reliance on single‑vendor ecosystems.
- **Customer‑First Engineering**: Providing dedicated solution engineers and expert support to ensure seamless onboarding and scaling for AI teams.

## Why Work Here
- **Cutting‑Edge Work**: Build and operate the infrastructure powering the next wave of AI models, working directly with AMD’s latest hardware.
- **Tight‑Knit, Growing Team**: Flat hierarchy with a “tight‑knit team” culture; rapid headcount growth means early employees have outsized impact.
- **Engineering‑Heavy Opportunities**: Active openings for Staff Infrastructure Engineers (Kubernetes, Virtualization), Security Engineers, ML Engineers, Data Center Technicians, and more. ([jobs.ashbyhq.com/tensorwave](https://jobs.ashbyhq.com/tensorwave))
- **Location & Flexibility**: Headquarters in Las Vegas, NV; presence in South Korea; remote/hybrid policy not publicly specified.
- **Perks**: Not publicly available; however, the company emphasizes a collaborative environment and direct mentorship from senior leadership.

## Sources
1. [tensorwave.com](https://tensorwave.com/)
2. [tensorwave.com/about](https://tensorwave.com/about)
3. [linkedin.com/company/tensorwave](https://www.linkedin.com/company/tensorwave)
4. [cbinsights.com/company/tensorwave](https://www.cbinsights.com/company/tensorwave)
5. [jobs.ashbyhq.com/tensorwave](https://jobs.ashbyhq.com/tensorwave)

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