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Software Engineer Supervisor Jobs in Boston, MA (NOW HIRING)

Jj

Staff AI/ML Software Engr, Navigation

Boston, MA · On-site

As a Staff AI/ML Software Engineer in the Navigation R&D team, you will architect, plan and lead ... Strong AI/ML fundamentals - Strong grounding in supervised and unsupervised learning, model section ...

Amazon

Device Embedded Software SDE, Ring

Reading, MA · On-site

$138K - $182K/yr

As an Embedded Software Development Engineer, you will be responsible for defining, building and ... other employees, supervisors, and staff; adhere to standards of excellence despite stressful ...

Profile-Software

Senior AI Agentic Engineer

Lynnfield, MA · On-site

$102.41 - $147.93/hr

Own the architecture of the Group's agentic platform: orchestration patterns (supervisor / sub ... What You Will Bring: * 8+ years in software engineering, including 3+ years actively building ...

New

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Collaborate with data engineers, software developers, and business stakeholders to understand ... Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Collaborate with data engineers, software developers, and business stakeholders to understand ... Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Collaborate with data engineers, software developers, and business stakeholders to understand ... Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ...

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Showing results 41-60

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

Software Engineer Supervisor information

See Boston, MA salary details

$69.2K

$160.7K

$223.9K

How much do software engineer supervisor jobs pay per year?

As of Aug 7, 2026, the average yearly pay for software engineer supervisor in Boston, MA is $160,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $188,500.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Software Engineer Supervisor jobs in Boston, MA? For Software Engineer Supervisor jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Software Engineer Supervisor jobs in Boston, MA look for? The top searched job categories for Software Engineer Supervisor jobs in Boston, MA are:
What cities near Boston, MA are hiring for Software Engineer Supervisor jobs? Cities near Boston, MA with the most Software Engineer Supervisor job openings:
Software Engineer Supervisor jobs near you
Infographic showing various Software Engineer Supervisor job openings in Boston, MA as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $160,270 per year, or $77.1 per hour.

Senior Software Engineer, Perception (R5420)

Shield AI

Boston, MA

$163K - $244K/yr

Full-time

Posted 9 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 

In this role, you'll develop and deploy advanced machine learning models that solve real-world perception challenges for autonomous systems. You'll own major features from model development through deployment, working closely with machine learning researchers, perception engineers, autonomy engineers, and platform teams to bring cutting-edge AI capabilities into production. This is an ideal opportunity for engineers who enjoy solving difficult perception problems while building reliable, production-ready ML systems that operate on autonomous platforms in complex operational environments.

What You'll Do:

Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.

  • Prioficiency of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

#LI-DS-1
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.