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Software Development Engineer In Test Manager Jobs in Virginia

Meta Force Technology Staffing LLC

SDET

Reston, VA · On-site

$52 - $67/hr

SDET Reston, VA (3 days a week onsite) Interview Process: 1 in-person panel (no videos) *Prior ... Design, create, and manage test data for a wide range of test scenarios using Test Data Management ...

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Software Development Engineer In Test Manager information

What is the difference between Software Development Engineer In Test Manager vs Software Development Engineer In Test?

AspectSoftware Development Engineer In Test (SDET)Software Development Engineer In Test Manager (SDET Manager)
ResponsibilitiesDesigns and develops automated tests, writes test scripts, and ensures product quality at the individual level.Leads testing teams, oversees testing strategies, and manages test planning and execution across projects.
Required SkillsStrong coding skills, automation tools, and testing frameworks.Leadership, project management, and team coordination skills in addition to technical expertise.
Work EnvironmentHands-on testing, coding, and automation development.Team management, strategic planning, and cross-team collaboration.

In summary, while a Software Development Engineer In Test focuses on technical testing and automation, a Software Development Engineer In Test Manager oversees testing teams and strategies, combining technical expertise with leadership skills to ensure overall quality assurance.

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Software Development Engineer In Test Manager jobs near you
Infographic showing various Software Development Engineer In Test Manager job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Software Development Engineer in Test

Entrada Ventures

Charlottesville, VA • On-site

$150 - $200/hr

Other

Retirement

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Design, develop, and maintain a robust automated testing framework supporting distributed AI training and inference workloads.

  • Develop complex test plans focusing on end-to-end system integration, stress testing, and hardware-software boundary conditions.

  • Partner with System Engineers to debug issues in distributed clusters using telemetry and profiling tools.

Job description

About us:

We are a stealth-mode startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors. The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously.

Some Recent Press:

https://www.eetimes.com/startup-boosts-scale-up-to-1000-gpus-in-a-single-domain/

We are looking for:

We are looking for a Software Development Engineer in Test (SDET) to ensure the reliability and performance of our core AI infrastructure. In this role, you are an engineer who builds sophisticated automation frameworks and stress-testing suites to break and then harden our system. You will be responsible for validating the intersection of distributed systems, GPU kernels, and AI frameworks. You will build a scalable foundation of trust in our code, ensuring that our performance-critical primitives work every time, at any scale.

Key Responsibilities:
  • Design, develop, and maintain a robust automated testing framework from the ground up that supports distributed AI training and inference workloads.
  • Develop complex test plans that go beyond unit tests, focusing on end-to-end system integration, stress testing, and hardware-software boundary conditions.
  • Partner closely with System Engineers to debug deep-seated issues in distributed clusters, using telemetry and profiling tools to identify bottlenecks.
Required Skills and Qualifications:
  • Strong proficiency in Python (for automation and orchestration).
  • Proven experience building or extending test automation frameworks for complex back-end systems.
  • Proven ability to troubleshoot automated test failures within complex large-scale distributed systems, and identify root causes.
  • Experience with containerization (Docker/Kubernetes) and modern CI/CD tools (GitHub Actions, GitLab CI, or Jenkins).
Desired Skills:
  • Experience with Kubernetes or Terraform or Ansible for managing test-bed environments.
  • Experience testing high-performance networking protocols or distributed file systems.
  • Experience testing software that interacts directly with drivers or firmware.
Education:

Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field.

Location:

This is a hybrid role based in Palo Alto or Charlottesville, VA.

Compensation:

Target base salary for this role is $140,000 - $200,000 per year + meaningful equity + benefits + 401k. Our salary ranges are determined by role, level, experience, and location.

Equal Opportunity Employer:

We are an equal opportunity employer. We value a range of perspectives and experiences and make employment decisions based on merit and business needs. We do not discriminate on the basis of legally protected characteristics.

Agency Note:

We do not accept resumes from agencies or search firms. Please do not forward candidate profiles through our careers page, email, LinkedIn messages, or directly to company employees. Any resumes submitted will be deemed the property of the company, and no fees will be paid in the event the candidate is hired.

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