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Software Engineer Engineer Jobs in Amherst, MA (NOW HIRING)

Diaconia

Structures Engineer, Senior

Chicopee, MA · On-site

$100K - $125K/yr

Proficiency in engineering analysis tools and software. * In-depth understanding of airworthiness ... and safety standards. Disclaimer "The responsibilities and duties outlined in this are intended to ...

Diaconia LLC

Structures Engineer, Senior

Chicopee, MA

$100K - $125K/yr

Proficiency in engineering analysis tools and software. * In-depth understanding of airworthiness ... and safety standards. Disclaimer "The responsibilities and duties outlined in this are intended to ...

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER: 37477090 REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data ...

LiquidPiston, Inc.

Controls Engineer

Suffield, CT · On-site

$81K - $104K/yr

Develop and modify embedded control software and firmware for engine and power system applications. * Work with engine, electrical, mechanical, and test engineers to define and implement control ...

LiquidPiston

Controls Engineer

Suffield, CT · On-site

$81K - $104K/yr

Develop and modify embedded control software and firmware for engine and power system applications. * Work with engine, electrical, mechanical, and test engineers to define and implement control ...

Actalent

Manufacturing Engineer

Stafford, CT

$23 - $55/hr

Experience using CAD software to support manufacturing engineering activities. * Ability to implement engineering change orders through a formal management of change system. Additional Skills ...

Raytheon Technologies

System Engineer

Spencer, MA · On-site

Documented proficiency with hardware and software, radar theory, and test equipment. * Experience running engineering tests to troubleshoot radar system anomalies (e.g. Signal and Data Possessor ...

Actalent

Manufacturing Engineer

Stafford, CT

$23 - $55/hr

Experience using CAD software to support manufacturing engineering activities. * Ability to implement engineering change orders through a formal management of change system. Additional Skills ...

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Showing results 21-40

All JobsSoftware Engineer Engineer JobsSoftware Engineer Engineer Jobs in Amherst, MA

Software Engineer Engineer information

See Amherst, MA salary details

$62.5K

$145.3K

$202.4K

How much do software engineer engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for software engineer engineer in Amherst, MA is $145,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $170,400.00 per year, depending on experience, location, and employer.

What is the difference between Software Engineer Engineer vs Software Engineer?

AspectSoftware EngineerSoftware Engineer Engineer
CredentialsBachelor's in CS or related field; sometimes certificationsSame as Software Engineer, often with additional certifications or experience
Work EnvironmentDevelopment teams, tech companies, startupsSimilar environments, often with more complex projects or responsibilities
Industry UsageWidely used across tech, finance, healthcare, etc.Less common; sometimes used interchangeably or in specific companies
Comparison IntentUnderstanding roles, career paths, or job requirementsClarifying distinctions or advanced responsibilities

While both roles involve software development, a Software Engineer Engineer may focus on more complex systems or specialized tasks. However, in many organizations, the titles are used interchangeably. Understanding the specific job description is essential for clarity.

What job does a software engineer do?

A software engineer designs, develops, tests, and maintains software applications and systems. They use programming languages, such as Java, Python, or C++, and often collaborate with teams to create efficient and reliable software solutions. Strong problem-solving skills and knowledge of software development methodologies are essential for this role.

Is 25 too late to become a software engineer?

A software engineer can start at any age, including 25, as the field values skills and experience over age. Many successful engineers begin careers later in life after learning programming through self-study, coding bootcamps, or formal education. Age is less important than technical skills, problem-solving ability, and continuous learning in this profession.

What cities near Amherst, MA are hiring for Software Engineer Engineer jobs?

Cities near Amherst, MA with the most Software Engineer Engineer job openings:

Software Engineer Engineer jobs near you

Computer Vision & AI/ML Engineer Jobs

AIToolboard

Springfield, MA • On-site

$150 - $230/hr

Other

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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