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Software Engineering Supervisor Jobs (NOW HIRING)

htna

Process Engineering Supervisor

Milwaukee, WI

Process Engineering Supervisor will: Identify improvement opportunities, use or apply appropriate ... Ability to leverage RJG Hub software to recognize and react in real time. * General knowledge of ...

General Atomics

Software Developer III

Poway, CA · On-site

$98.10K - $171.40K/yr

As a Software Engineering Supervisor at General Atomics, you will lead a high-performing team of software engineers developing and delivering advanced software solutions for world-leading aerospace ...

Nemak

Controls Engineering Supervisor

Sheboygan, WI · On-site

$83.20K - $107.60K/yr

Develops, implements, and tests equipment software including PLC ladder logic, ABB software, Fanuc ... Objective The Controls Engineering Supervisor in Sheboygan WI is responsible for leading and ...

General Atomics

Software Developer VI

Poway, CA · On-site

$128.13K - $229.36K/yr

As a Software Engineering Supervisor at General Atomics, you will lead a high-performing team of software engineers developing and delivering advanced software solutions for world-leading aerospace ...

Moxe

Software Engineering Manager

Madison, WI

$150 - $170K/hr

Supervisory Responsibilities: * This position will manage a team of Software Engineers Travel Requirements: * Some travel may be required for department or company wide meetings Salary Range: * $150 ...

Ecolab

Software Engineering Manager

Naperville, IL · On-site

$154.43K/yr

Create software engineering processes, practices and operations to ensure reproducible, high ... DE supervising a team and fostering talent through creating development plans and providing ...

FM Industries

Engineering Supervisor

Phoenix, AZ · On-site

The Engineering Supervisor is responsible for overseeing day-to-day activities of the robotics ... Experienced in Solidworks CAD software * Experience in developing and documenting manufacturing ...

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Software Engineering Supervisor information

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$99.5K

$169.4K

$200.5K

How much do software engineering supervisor jobs pay per year?

As of May 29, 2026, the average yearly pay for software engineering supervisor in the United States is $169,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Software Engineering Supervisor, and why are they important?

To thrive as a Software Engineering Supervisor, you need strong technical expertise in software development, experience with project management, and a background in computer science or a related field. Familiarity with development tools like Git, Agile frameworks (e.g., Scrum), and possibly certifications such as PMP or Certified ScrumMaster are often required. Leadership, effective communication, and problem-solving skills are crucial soft skills for managing teams and fostering collaboration. These skills ensure projects are delivered efficiently, teams are motivated, and high-quality software solutions are consistently achieved.

What are some common challenges faced by Software Engineering Supervisors when managing diverse technical teams?

Software Engineering Supervisors often encounter the challenge of leading teams with varying levels of experience, technical backgrounds, and communication styles. Balancing project deadlines while ensuring team members have opportunities for professional growth can be demanding. Additionally, supervisors must effectively mediate conflicts, provide constructive feedback, and foster collaboration across remote or cross-functional teams. Strong interpersonal skills and adaptability are essential to successfully navigate these complexities and maintain a productive, positive work environment.

What does a Software Engineering Supervisor do?

A Software Engineering Supervisor oversees a team of software engineers, guiding their work on projects and ensuring that development standards are met. They coordinate tasks, manage timelines, and provide technical leadership to help solve complex problems. In addition to supervising daily operations, they often assist with hiring, training, and performance evaluations. Their role bridges technical expertise and people management to deliver high-quality software solutions.

What is the difference between Software Engineering Supervisor vs Software Developer?

AspectSoftware Engineering SupervisorSoftware Developer
CredentialsBachelor's or Master's in CS or related field; often leadership experienceBachelor's or higher in CS or related field
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on coding, designing, and implementing software solutions
Employer & Industry UsageUsed in tech companies, software firms, and IT departments for leadership rolesCommon across all tech and software development companies

The main difference is that a Software Engineering Supervisor manages and leads development teams, while a Software Developer primarily focuses on coding and building software. The supervisor role involves leadership, project management, and strategic planning, whereas the developer role emphasizes technical skills and software creation.

More about Software Engineering Supervisor jobs
What job categories do people searching Software Engineering Supervisor jobs look for? The top searched job categories for Software Engineering Supervisor jobs are:
Software Engineering Supervisor jobs near you
Infographic showing various Software Engineering Supervisor job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $169,381 per year, or $81.4 per hour.

Software Engineer Supervisor (System Admin)

HR1Systems

Jersey City, NJ • On-site, Remote

$180.60K - $214K/yr

Full-time

PTO

Posted 5 days ago

Job description

Description
HR1Systems is seeking a Software Engineer Supervisor (Systems Administrator) specializing in managing SaaS platforms, Machine Learning and AI to join our innovative team. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile app technologies.
As a software engineer supervisor, you will work on specific projects critical to HR1Systems' needs with opportunities to switch teams and projects due to our fast-paced business growth. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems across the full stack as we continue to push technology forward. You will be managing a team of junior software engineers and data analysts.
Primary/Essential Duties and Key Responsibilities:
  • Design and Develop Scalable Software Solutions: Bring fresh ideas from various areas to address complex challenges in HR technology.
  • Develop and Implement Models: Design and build machine learning models and algorithms to address complex problems.
  • Machine Learning and AI Development: Design and implement machine learning algorithms and AI-driven solutions, including deep learning and natural language processing.
  • Full-Stack Development: Work across the full technology stack, from backend services to front-end user interfaces, ensuring seamless integration and performance.
  • Collaboration: Work closely with cross-functional teams, including data analysts, project managers, and other engineers, to integrate AI solutions into our products and improve standard operating procedures.
  • Leadership: Display leadership qualities by mentoring junior team members and leading projects.
  • Research and Innovation: Stay current with AI and software engineering research, applying new techniques to enhance existing systems.
  • Code Quality and Review: Maintain high-quality, maintainable code, and participate in code reviews.
  • Data Analysis: Analyze large datasets to extract insights and optimize model performance.
  • Deploy Solutions: Deploy machine learning models and ensure their performance aligns with business needs.
  • Document and Review: Maintain clear documentation of processes and participate in code reviews to ensure high-quality, maintainable code.
  • Project Manager: Manage project, scheduling, client interfacing, deadlines, risk assessments, etc.
  • Supervisor: Manage a team of software engineers and data analysts.

Benefits
  • Paid Time Off
  • Bonus
  • Paid USA Holidays
  • Flexible Hours (standard 8am-5pm EST)
  • Remote Work
  • Annual International Company Retreats
  • Health and Wellness Programs

Requirements
Education:
  • Master's degree or PhD in Software Engineering, Computer Science, or a related technical field.

Experience:
  • 5+ years of experience in software development and with data structures/algorithms.
  • 2-5+ years of managing a team
  • 5+ years of experience testing and launching software products.
  • 5+ years of experience with software design and architecture.
  • 5+ years of experience with machine learning algorithms, artificial intelligence, deep learning, or natural language processing.
  • 5+ years of project management experience

Technical Skills:
  • Strong proficiency in R and Python, with a deep understanding of data manipulation, analysis, and machine learning workflows.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying ML models.
  • Experience with SQL and NoSQL databases for storing and retrieving large datasets.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Experience with Git, version control, and experiment tracking tools (e.g., MLflow, DVC).

Skills:
  • Strong leadership skills and a desire to teach and educate a team.
  • Strong understanding of software development lifecycle and agile methodologies.
  • Excellent problem-solving skills and the ability to communicate complex ideas effectively.
  • Versatility in working across different technologies and a willingness to learn new tools and languages as needed.
  • Ability to work independently and collaboratively in a remote, fast-paced environment.

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