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Computer System Engineer Jobs in Westfield, MA (NOW HIRING)

Syntricate Technologies

OpenShift Engineer

Hartford, CT · On-site

$53.25 - $73/hr

Required : • Bachelor's degree in computer science, Information Systems, Engineering, or a related field. • At least 8 years of experience in IT. • At least 3 years of experience in managing ...

TRUMPF

Industrial Project Engineer

Farmington, CT

$34 - $41.56/hr

Bachelor's degree or higher in Industrial Engineering, Information Systems, Systems Engineering, Computer Science or related field. Pay Range:$34.00 - $41.56 TRUMPF Inc. endeavors to make TRUMPF ...

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Showing results 41-60

All JobsComputer System Engineer JobsComputer System Engineer Jobs in Westfield, MA

Computer System Engineer information

See Westfield, MA salary details

$55.9K

$132.8K

$174.4K

How much do computer system engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for computer system engineer in Westfield, MA is $132,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $163,900.00 per year, depending on experience, location, and employer.

What is the difference between Computer System Engineer vs Network Engineer?

AspectComputer System EngineerNetwork Engineer
Required CredentialsBachelor's in Computer Science, certifications like CompTIA, Cisco (CCNA)Bachelor's in Computer Science or related, Cisco certifications (CCNA, CCNP)
Work EnvironmentDesigning, implementing, and maintaining computer systems and infrastructureDesigning, deploying, and managing network infrastructure and security
Employer & Industry UsageIT companies, large corporations, government agenciesTelecommunications, IT service providers, large enterprises
Common Search & ComparisonOften compared for system design and infrastructure rolesCompared for network setup and security roles

Computer System Engineers focus on designing and maintaining overall computer systems, including hardware and software integration. Network Engineers specialize in building and managing network infrastructure. Both roles require similar certifications and often work in overlapping industries, but their core responsibilities differ in scope and focus.

Is computer system engineering in demand?

Computer system engineering is in high demand due to the increasing reliance on technology across industries. Professionals with skills in network infrastructure, cybersecurity, and systems integration are sought after, with job growth expected to continue as organizations upgrade and expand their IT systems.

What are computer system engineering jobs?

Computer system engineering jobs involve designing, developing, and maintaining computer systems and networks. Professionals in this field often work with hardware, software, and system integration, requiring skills in programming, troubleshooting, and knowledge of operating systems. Certifications like Cisco or CompTIA can enhance job prospects in this area.

What does a computer system engineer do?

A computer system engineer designs, develops, and maintains computer systems and networks to ensure their efficiency, security, and reliability. They often work with hardware, software, and network components, utilizing skills in programming, system analysis, and troubleshooting. Certifications like Cisco or Microsoft can enhance their expertise, and they typically work in IT environments with standard working hours.

What cities near Westfield, MA are hiring for Computer System Engineer jobs?

Cities near Westfield, MA with the most Computer System Engineer job openings:

Computer System Engineer jobs near you
Infographic showing various Computer System Engineer job openings in Westfield, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $132,833 per year, or $63.9 per hour.

Computer Vision & AI/ML Engineer Jobs

Springfield, MA • On-site

AIToolboard
See more jobs at AIToolboardexternal

$111K - $133K/yr

Other

Re-posted 9 days ago

Job description

Aqua IT Springfield, US

Full-time

About the Role

Description of Services/Responsibilities:

  • Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization
  • Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning
  • Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models
  • Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows
  • Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques
Basic Requirements
  • TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts
  • Must be willing to work in SCIF daily or as needed
  • 5+ years of professional machine learning engineering experience with a focus on deep learning
  • 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs)
  • Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters)
  • Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques
  • 4+ years of advanced Python development for ML workloads
  • Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)
  • Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)
  • 3+ years of experience with computer vision or multimodal models
  • Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)
  • Experience processing and augmenting image datasets at scale
  • 3+ years of experience with AWS ML infrastructureSageMaker Training jobs, Processing jobs, and endpoint deploymentGPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e)S3 data management for large-scale training datasets
  • 2+ years of experience building ML evaluation pipelinesAutomated benchmarking, metric computation, and result analysisExperience with both quantitative metrics and qualitative/human evaluation approaches
  • Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)
Preferred Qualifications
  • 2+ years of experience with geospatial or remote sensing imagery
  • Familiarity with electro-optical and SAR satellite imagery formats and characteristics
  • Understanding of geospatial metadata, coordinate systems, and imagery preprocessing
  • Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)
  • Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments)
  • Familiarity with data annotation platforms and active learning workflows for imagery
  • Experience with containerized ML workflows (Docker, ECR, ECS/EKS)
  • 2+ years of experience with Authority to Operate (ATO) processes in government environments
  • Implementation of NIST 800-53 controls and security compliance for ML systems
  • Experience deploying models in air-gapped or disconnected environments
  • Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)
  • Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI
  • Experience with synthetic data generation for training data augmentation

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