Lab Manager, AI & High-Performance Computing

Location: Orlando, FL 32819

Schedule: Hybrid, 4 days onsite / 1 day remote, typically Friday

Contract Duration: 12 months

The Opportunity

We're looking for a technically versatile Lab Manager to take ownership of sophisticated AI and research computing environments supporting next-generation technology and innovation.

This is a unique opportunity to work at the intersection of Artificial Intelligence, cloud computing, distributed systems, infrastructure, and high-performance computing (HPC). You'll manage cutting-edge lab environments, GPU workstations, networking, hardware, and cloud-based deployments while partnering directly with engineers and researchers developing advanced AI solutions.

If you enjoy being hands-on with both infrastructure and emerging technology and want a role where you can directly influence the reliability, scalability, and performance of an AI-focused technical environment, this opportunity offers an exciting combination of ownership, impact, and technical variety.

What You'll Be Doing

• Manage and maintain laboratory infrastructure, including workstations, servers, networking equipment, and AI computing resources
• Ensure the reliability, performance, and availability of lab environments, proactively identifying and resolving hardware and system issues
• Administer and support high-performance computing systems, including GPU-intensive AI and machine learning workloads
• Oversee deployment, configuration, and maintenance of applications across both on-premises and cloud environments
• Collaborate closely with engineering and research teams to support software development, testing, and deployment activities
• Maintain hardware inventory, upgrades, and lifecycle management across the organization's technical network
• Implement and support infrastructure best practices related to security, monitoring, reliability, and operational excellence
• Help ensure HPC environments operate efficiently so engineering and research teams can work at maximum capacity

Top Skills We're Looking For

• Strong experience with distributed systems and modern infrastructure architectures
• Proficiency in Python scripting and automation
• Strong understanding of infrastructure, networking, operating systems, and systems administration
• Experience with at least one major cloud platform:
• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Statistics, Engineering, Mathematics, or a related technical field
• Strong experience working with distributed systems and modern infrastructure architectures
• Proficiency with Python scripting and automation
• Solid understanding of infrastructure, networking, operating systems, and systems administration
• Experience with Microsoft Azure, AWS, GCP, or another major cloud platform
• Working knowledge of software development principles, including web and front-end application concepts
• Demonstrated interest and experience in Artificial Intelligence and machine learning technologies
• Ability to work onsite in a collaborative lab environment four days per week, with one designated remote workday

Preferred Qualifications

Candidates with experience in any of the following areas will stand out:

• Cloud deployment and application management platforms such as Olympus or comparable deployment orchestration tools
• AI/ML infrastructure supporting large-scale model training and inference workloads
• High-performance workstations and GPU-based computing environments
• NVIDIA GPU platforms
• Linux environments
• Systems engineering
• Networking devices and infrastructure
• Hardware support and lifecycle management
• Cloud deployment
• Front-end technologies
• Relevant certifications in cloud, infrastructure, systems administration, or hardware management
• Enterprise infrastructure operations within research, engineering, or innovation-focused environments

Ideal Candidate Profile

The ideal candidate brings a strong blend of IT infrastructure, cloud, systems engineering, and software engineering expertise, along with the ability to manage complex technical environments supporting AI research and development.

You'll thrive in this role if you're:

• Proactive and comfortable taking ownership of critical technical environments
• Adaptable and able to work across hardware, networking, cloud, and software
• Excited about AI, machine learning, GPU computing, and emerging technologies
• Strong at troubleshooting and solving complex infrastructure problems
• Comfortable partnering directly with engineering and research teams
• Able to balance day-to-day operational support with longer-term infrastructure scalability and reliability

Technical Environment

This role may involve working across:

• Infrastructure | Cloud | Python | Distributed Systems | Site Reliability Engineering | Systems Engineering | Networking | Hardware Support | Linux | Azure | AWS | GCP | Cloud Deployment | Front-End Technologies | GPU Computing | AI/ML | High-Performance Computing

Work Environment

Hybrid schedule

Onsite 4 days per week

1 remote day per week, typically Friday

Highly collaborative AI, research, and engineering environment

Orlando, FL 32819

Why This Position Is Open

The organization is continuing to expand its AI and research capabilities and needs additional expertise to run, maintain, and optimize its network of high-performance computing systems.

This person will play an important role in ensuring operational efficiency, minimizing infrastructure downtime, and making sure engineering and research teams have the computing resources they need to operate at maximum capacity.

Additional Details

• Contract Length: 12 months
• Location: Orlando, FL 32819
• Schedule: 4 days onsite / 1 day remote
• Drug Test Required: No
• Experience Level: Expert Level

Job Type & Location

This is a Contract position based out of Orlando, FL.

Pay and Benefits

The pay range for this position is $60.00 - $65.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Application Deadline

This position is anticipated to close on Nov 25, 2026.

Workplace Type

This is a fully onsite position in Orlando, FL.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.