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aimlroles

Principal Software Developer, AI Infrastructure

Eeho Open · verified Nov 1, 2026
Austin Full-time Senior ML Platform & Ops

At a glance

Senior ML Platform & Ops role at Eeho. Austin · full-time · $114,600–$234,600 base.

SalaryStated by Eeho
$114,600 – $234,600
Base salary for this role, in USD per year, as published in the posting.
RoleML Platform & Ops
SenioritySenior
LocationAustin
EmploymentFull-time
Base pay$114,600–$234,600
PostedJul 1, 2026 · 4mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build software and firmware that operate GPU-based AI servers
  • Create tools to manage, diagnose and repair GPU systems with partner teams
  • Work with product teams to investigate and resolve customer problems
  • Develop systems for GPU delivery, health checks, automated triage and diagnostics

What you bring

  • At least six years delivering and running production environments with more than a thousand server instances
  • A computer science degree, a related technical qualification, or equivalent practical coding experience
  • Strong knowledge of operating systems, computer networks and high-performance applications
  • Proficiency in one listed language, such as Java, Python or C

Who this fits

This senior individual-contributor role suits an engineer who can debug across software layers and low-level systems, and who values simple designs that scale. You’ll work with network and data center operations as well as partner and product teams. The role is based in Austin.

From the employer

OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. This is your chance to be part of the AI revolution, creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance.

Our team is responsible for designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and Infiniband.

Why Join Us?

  • Innovative Projects: Build groundbreaking solutions for our customers from the ground up.
  • Exciting Times: Be part of a young, fast-growing team working on ambitious new initiatives.
  • Dynamic Environment: Collaborate in a vibrant, agile environment where learning and adaptability are key.

What We’re Looking For:

  • Adaptable Engineers: Self-motivated individuals with a quick learning ability.
  • Technical Excellence: Rock-solid developers and distributed systems engineers with a deep understanding of distributed systems and algorithms. Comfortable diving deep into any part of the stack, as well as software debugging and low-level systems troubleshooting.
  • Passion for Simplicity and Scale: Value simplicity and scalability in design and implementation.
  • Collaborative Spirit: Comfortable working in a collaborative, agile environment and eager to learn. Ability to collaborate effectively with various dependencies, including Network and Data Center operations.

Join us and be a part of the team that's pushing the boundaries of AI technology!

Minimum Qualifications

  • BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
  • Deep understanding of operating systems, computer networks, and high-performance applications
  • 6+ years’ experience delivering and operating large-scale production systems (1000+ server instances)
  • Proficient in one programming language(java/python/c/c++/goLang/shell scripting)
  • Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
  • Proven ability to deliver products and experience with the full software development lifecycle

Preferred Qualifications

  • Strong background in Linux systems
  • Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.
  • General enterprise storage, networking, or computing experience
  • Experience with Server/GPU hardware architecture and system management.
  • Experience with Infiniband or RoCE networking
  • Hands-on experience designing, developing, and operating public cloud service data planes
  • Good understanding of databases and SQL (MySQL) and caching technologies (Redis, Memcache etc)

As a member of the software engineering division, you will be

  • Designing, implementing, and delivering software, firmware for managing GPU based AI servers
  • Working closely with partner teams to deliver high quality software to manage, triage and repair GPU systems
  • Working closely with product teams to debug, resolve customer's issues.
Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4


Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

ML Platform & Ops$110k+

Find me work

By the team behind aimlroles.

Find me work
Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.