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Software Engineer Supervisor Jobs in Northampton, MA

Rodney Hunt

Production Supervisor

Orange, MA · On-site

The Production Supervisor is responsible for overseeing production teams and ensuring that ... Competency with CAD software, (Solidworks, Auto CAD), and CNC Programming. * Strong communication ...

Rodney Hunt Inc.

Production Supervisor

Orange, MA · On-site

$75K - $95K/yr

The Production Supervisor is responsible for overseeing production teams and ensuring that ... Competency with CAD software, (Solidworks, Auto CAD), and CNC Programming. * Strong communication ...

Trilon Group

Senior Geotechnical Engineer

Springfield, MA · On-site

$100K - $120K/yr

Proficiency with Microsoft Office, AutoCAD, and geotechnical software * Strong leadership ... Project management and supervisory experience highly preferred This is a hybrid role , offering the ...

Trilon

Senior Geotechnical Engineer

Springfield, MA · Hybrid

Proficiency with Microsoft Office, AutoCAD, and geotechnical software * Strong leadership ... Project management and supervisory experience highly preferred This is a hybrid role , offering the ...

Catalyst Brands

Engineer 2 Supply Chain WMS

Enfield, CT · On-site

$96.53 - $175.50/hr

Collaborate with analysts, designers, and system owners in the testing of new software programs and ... Perform other duties as assigned by supervisor as the company retains the right to change duties to ...

Stantec

Resident Engineer

Northampton, MA · On-site

$98K - $126K/yr

Responsible for supervising Stantec staff, including development of Management plans, tracking ... Required software applications include: Adobe, Microsoft Excel, Word, and Project. AutoCAD ...

UG2

Lead Building Engineer

Holyoke, MA · On-site

$100K - $132K/yr

Experience supervising and coordinating mechanical contractors * Familiarity with building ... Experience with Energy Management Systems (EMS) and related software programs * Understanding of ...

UG2

Lead Building Engineer

Holyoke, MA · On-site

$100K - $132K/yr

Experience supervising and coordinating mechanical contractors * Familiarity with building ... Experience with Energy Management Systems (EMS) and related software programs * Understanding of ...

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All JobsSoftware Engineer Supervisor JobsSoftware Engineer Supervisor Jobs in Northampton, MA

Software Engineer Supervisor information

See Northampton, MA salary details

$63.3K

$146.9K

$204.7K

How much do software engineer supervisor jobs pay per year?

As of Aug 25, 2026, the average yearly pay for software engineer supervisor in Northampton, MA is $146,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $172,300.00 per year, depending on experience, location, and employer.

What is a software engineer supervisor?

Software Engineer Supervisors are professionals who oversee teams of software engineers to ensure that projects are completed efficiently and meet organizational standards. They are responsible for planning, assigning tasks, mentoring team members, and coordinating with other departments. In addition to technical expertise, they require strong leadership and communication skills to manage team dynamics and project timelines. Their role bridges the gap between upper management and technical staff, ensuring smooth workflow and high-quality software delivery.

What are the key skills and qualifications needed to thrive as a software engineer supervisor?

To thrive as a Software Engineer Supervisor, you need a strong background in software development, leadership experience, and typically a bachelor’s degree in computer science or a related field. Familiarity with version control systems (like Git), project management tools (such as Jira), and experience with relevant programming languages are commonly expected. Exceptional communication, mentorship, and problem-solving abilities are critical soft skills for managing teams and fostering growth. These competencies ensure effective project delivery, high team morale, and the successful alignment of technical solutions with business objectives.

What are some common challenges faced by software engineer supervisors when managing a technical team?

Software Engineer Supervisors often encounter challenges such as balancing project deadlines with team capacity, ensuring clear communication among team members, and navigating conflicting priorities from stakeholders. Another common challenge is supporting the professional growth of team members while maintaining high productivity. Effective supervisors address these by fostering an open team culture, employing agile project management practices, and providing regular feedback and mentorship.

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

AspectSoftware Engineer SupervisorSoftware Engineer
ResponsibilitiesOversees development teams, manages projects, mentors staffDevelops software, writes code, implements features
Required SkillsTechnical expertise, leadership, communicationProgramming, problem-solving, technical knowledge
CertificationsOften requires a bachelor's degree in CS or related field; leadership experienceBachelor's in CS or related field; coding certifications optional
Work EnvironmentTeam management, project planning, collaborationIndividual coding, software development, testing

The main difference between a Software Engineer Supervisor and a Software Engineer lies in their roles. The supervisor manages teams and oversees projects, requiring leadership skills, while the software engineer focuses on coding and technical development. Both roles often require similar educational backgrounds, but the supervisor's role emphasizes management and coordination.

What are popular job titles related to Software Engineer Supervisor jobs in Northampton, MA?

For Software Engineer Supervisor jobs in Northampton, MA, the most frequently searched job titles are:

What job categories do people searching Software Engineer Supervisor jobs in Northampton, MA look for?

The top searched job categories for Software Engineer Supervisor jobs in Northampton, MA are:

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

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

Software Engineer Supervisor jobs near you
Infographic showing various Software Engineer Supervisor job openings in Northampton, MA as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $146,944 per year, or $70.6 per hour.

Computer Vision & AI/ML Engineer Jobs

Springfield, MA • On-site

AIToolboard
See more jobs at AIToolboardexternal

$150 - $230/hr

Other

Posted 20 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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