1

Data Center Engineer Jobs in Worcester, MA (NOW HIRING)

Software Engineer 3

Westford, MA · Hybrid

$59.75 - $80.25/hr

Data Center Networking * Knowledge of networking protocols and technologies, including: * BGP ... Engineering Job Level: TCP_03 "The expected salary/wage range for this position is provided below.

Data Engineer III (Platform)

Webster, MA · On-site

$118K - $142K/yr

MAPFRE USA is looking for a self-motivated team player to join their Data Engineering team as a ... Informatica Power Center, Glue). • Code IDE: Microsoft Visual Code, Github Copilot. Preferred ...

Data Engineer III (Platform)

Webster, MA · On-site

$100K - $160K/yr

The Data Engineer is responsible for designing, developing, and optimizing data pipelines and ... Informatica Power Center, Glue). * Code IDE: Microsoft Visual Code, Github Copilot. * Artificial ...

Showing results 21-40

Data Center Engineer information

See Worcester, MA salary details

$51.4K

$147.1K

$196.6K

How much do data center engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data center engineer in Worcester, MA is $147,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $195,600.00 per year, depending on experience, location, and employer.

What does a data center engineer do?

A Data Center Engineer is responsible for designing, maintaining, and troubleshooting the hardware and infrastructure of data centers. Their work involves installing servers, managing network systems, ensuring optimal cooling and power, and monitoring system performance. They play a critical role in keeping data centers operational, secure, and efficient, supporting the IT needs of organizations. Data Center Engineers often collaborate with IT, security, and facilities teams to ensure 24/7 uptime and to plan for future growth.

What is the difference between Data Center Engineer vs Network Engineer?

AspectData Center EngineerNetwork Engineer
CertificationsCompTIA Server+, Cisco CCNA, Data Center-specific certificationsCCNA, CCNP, Cisco certifications
Work EnvironmentData centers, server rooms, hardware-focusedNetwork infrastructure, routing, switching environments
ResponsibilitiesDesign, maintain, and troubleshoot data center hardware and infrastructureDesign, implement, and manage network systems and connectivity

While both roles require networking knowledge and certifications, Data Center Engineers focus on physical infrastructure, servers, and hardware within data centers. Network Engineers primarily work on network design, configuration, and troubleshooting of network systems. Understanding the hardware environment is key for Data Center Engineers, whereas Network Engineers concentrate on network connectivity and protocols.

What are some common challenges faced by data center engineers, and how can they be managed on the job?

Data Center Engineers often encounter challenges such as maintaining uptime during hardware failures, managing rapid scaling demands, and ensuring strong physical and cybersecurity. These issues require quick troubleshooting skills, familiarity with redundancy protocols, and proactive monitoring of systems. Effective communication and collaboration with IT, facilities, and security teams are also crucial to address incidents efficiently and minimize downtime. Staying updated with evolving technologies and best practices helps engineers anticipate and mitigate potential risks.

How much money does a data center engineer make?

A data center engineer's salary varies by experience, location, and certifications, but typically ranges from $70,000 to $120,000 annually. Entry-level positions may start lower, while experienced engineers with specialized skills or certifications can earn higher salaries.

What skills do you need for a data center engineer?

To thrive as a Data Center Engineer, you need a solid background in IT infrastructure, networking, and hardware maintenance, often supported by a degree in computer science or a related field. Familiarity with server management tools, virtualization platforms (like VMware), and certifications such as CompTIA Server+ or Cisco CCNA are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in this role. These skills ensure reliable data center operations, minimize downtime, and support the critical IT needs of the organization.

What is a data center engineer?

A data center engineer’s duties are to design, implement, and monitor information technology systems at a data center. A data center engineer must be familiar with a variety of IT hardware, such as servers, cables, power systems, and cooling equipment, needed to maintain the physical safety of an IT facility, which includes fire safety. Their job is to set up the infrastructure needed to connect servers and hard drives together, and be familiar with the capacity of the technology. After setting up IT systems, they are responsible for system monitoring, maintenance, and troubleshooting.

What are popular job titles related to Data Center Engineer jobs in Worcester, MA? For Data Center Engineer jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Data Center Engineer jobs in Worcester, MA look for? The top searched job categories for Data Center Engineer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Data Center Engineer jobs? Cities near Worcester, MA with the most Data Center Engineer job openings:
Infographic showing various Data Center Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $147,140 per year, or $70.7 per hour.

Senior HPC and Quantum Systems Engineer

Nvidia Corporation

Westford, MA • On-site

$108K - $148K/yr

Full-time

Re-posted 2 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a first-of-its-kind Accelerated Quantum Computing Center in the Boston area! This role sits at the intersection of data center infrastructure, high-performance computing, and emerging quantum systems, and will be essential to turning experimental quantum hardware into a reliable, high-impact research platform. You will lead all aspects of the day-to-day technical ownership of a tightly coupled GPU supercomputing environment coordinated with multiple quantum modalities. This is not a pure research role nor a traditional HPC admin role-it is a systems engineering position dedicated to exploring quantum computing integration with classical systems. This role is ideal for someone who has built and operated production HPC environments, understands low-level systems and networking, and is excited to work hands-on with quantum hardware as it transitions from lab prototypes to operational infrastructure.
What you'll be doing:
Hybrid Quantum-HPC Platform Engineering
  • Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors (neutral atom, trapped ion, superconducting, and future modalities).
  • Integrate quantum control systems and access nodes with HPC infrastructure using APIs, middleware, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, and related toolchains.
  • Develop and refine hybrid execution workflows that coordinate GPU computation, quantum execution, and data movement across tightly coupled systems.

HPC Systems & Operations
  • Be responsible for the reliability, performance, and lifecycle management of the Quantum environment, including Linux systems, QPU hardware, job schedulers (e.g., Slurm), networking, and storage.
  • Work closely with networking and facilities teams to ensure power, cooling, timing, environmental controls, and low-latency connectivity meet quantum hardware requirements.

Vendor & Partner Collaboration
  • Serve as a technical interface to quantum hardware partners, collaborating on system bring-up, connectivity, control interfaces, and co-design opportunities.
  • Help define hosting, networking, and integration requirements for new quantum systems entering the facility.

Application Enablement & Performance
  • Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.
  • Prototype and evaluate end-to-end workflows that demonstrate the capabilities of the platform.

Technical Leadership
  • Produce clear internal documentation, integration guides, and operational runbooks to enable broader adoption of the platform.
  • Represent the organization at technical workshops, conferences, and industry forums when appropriate.

What we need to see:
  • 12+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
  • Bachelor's degree or Master's degree with equivalent experience in Physics, Electrical/Computer Engineering, Computer Science, or equivalent practical experience (PhD a plus).
  • Strong background in Linux systems administration, job schedulers (Slurm or equivalent), and computing environments committed to reliable operation.
  • Proven experience working in data center environments, including networking, storage, power, and operational constraints.
  • Familiarity with quantum computing concepts and hardware architectures (neutral atom, trapped ion, superconducting, photonic).
  • Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar.
  • Solid understanding of GPU-accelerated computing and heterogeneous systems.
  • Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.
  • Comfort working across system boundaries: control systems, APIs, networking, and performance tooling.
  • Strong communication skills and the ability to work effectively with experimental scientists, systems engineers, and external partners.

Ways to Stand Out from the Crowd:
  • Direct experience integrating or hosting physical quantum hardware in a data center or HPC environment.
  • Deep knowledge of quantum-classical orchestration, low-latency data paths, or real-time control considerations.
  • Experience working with NVIDIA tools and frameworks.
  • Experience bridging experimental research teams and production infrastructure.

This position plays a central role in bridging quantum research and operational computing infrastructure. You will directly influence how quantum systems are coordinated, scaled, and made usable by researchers, crafting both internal capabilities and external partnerships. Your work will help transform quantum computing from experimental hardware into a dependable, accelerated computing resource. It will operate alongside one of the most advanced GPU platforms in the world! This will materially impact the future of scientific computing. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993