1

Mathematical Optimization Jobs in Massachusetts (NOW HIRING)

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

DE performing portfolio construction research utilizing modern portfolio theory, mathematical optimization, numerical analysis, and transaction cost optimization, using Gurobi and Axioma; and ...

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

DE performing portfolio construction research utilizing modern portfolio theory, mathematical optimization, numerical analysis, and transaction cost optimization, using Gurobi and Axioma; and ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

next page

Showing results 1-20

Mathematical Optimization information

See Massachusetts salary details

$17.5K

$60.9K

$111.4K

How much do mathematical optimization jobs pay per year?

As of Aug 2, 2026, the average yearly pay for mathematical optimization in Massachusetts is $60,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,300.00 and $79,200.00 per year, depending on experience, location, and employer.

What is a Mathematical Optimization job?

A Mathematical Optimization job involves using mathematical techniques and algorithms to find the best possible solution to a given problem while satisfying constraints. Professionals in this field work in industries like finance, logistics, engineering, and artificial intelligence to optimize processes, minimize costs, or maximize efficiency. They use tools like linear programming, integer programming, and machine learning to solve complex decision-making problems.

What are some typical projects or problems tackled by professionals in Mathematical Optimization?

Professionals in Mathematical Optimization often work on projects involving resource allocation, supply chain management, scheduling, logistics, network design, or financial portfolio optimization. They use mathematical models to define and solve problems where the objective is to maximize efficiency or minimize costs under various constraints. Work may include collaborating with cross-functional teams to gather requirements, analyze large datasets, develop optimization algorithms, and implement solutions within existing business systems. These roles are found across industries such as manufacturing, transportation, finance, and technology, providing diverse and challenging opportunities. This variety in project scope allows for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive in the Mathematical Optimization position, and why are they important?

To thrive in Mathematical Optimization, you need a strong background in mathematics, statistical modeling, and algorithm development, often supported by a degree in mathematics, operations research, engineering, or related fields. Proficiency with programming languages such as Python, MATLAB, or specialized optimization software (like Gurobi, CPLEX, or AMPL) is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are critical soft skills for this role. These skills enable professionals to design effective solutions, interpret results, and convey recommendations to both technical and non-technical stakeholders.

What are the most commonly searched types of Mathematical Optimization jobs in Massachusetts? The most popular types of Mathematical Optimization jobs in Massachusetts are:
What are popular job titles related to Mathematical Optimization jobs in Massachusetts? For Mathematical Optimization jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization jobs in Massachusetts look for? The top searched job categories for Mathematical Optimization jobs in Massachusetts are:
What cities in Massachusetts are hiring for Mathematical Optimization jobs? Cities in Massachusetts with the most Mathematical Optimization job openings:
Infographic showing various Mathematical Optimization job openings in Massachusetts as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,934 per year, or $29.3 per hour.

Senior Robotics Software Engineer (Navigation)

Motion Recruitment

Charlestown, MA • On-site

$133K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

A rapidly growing robotics and automation company in the Greater Boston area is hiring a full-time Senior Software Engineer, Navigation to develop and optimize navigation and mobility systems for autonomous mobile robots operating in dynamic real-world environments. This role focuses on motion planning, robot controls, trajectory optimization, autonomous navigation, and fleet-scale robotics software development using technologies such as Python, robotics planning algorithms, optimization techniques, and advanced control systems. The position offers the opportunity to directly impact the performance, safety, and scalability of next-generation autonomous robotic systems deployed in production environments.

This is an exciting opportunity for a robotics software engineer who enjoys solving challenging autonomy problems and wants to see their work deployed on real robots every day. The company is looking for someone who can combine deep technical expertise in navigation and controls with strong leadership and mentorship capabilities. You’ll work closely with robotics, software, hardware, and AI teams to improve robot performance while helping shape the architecture of scalable autonomy systems. This role offers significant ownership, direct product impact, and the opportunity to contribute to cutting-edge robotics technology in a fast-growing environment.

Required Skills & Experience
· 5+ years of experience in robotics software engineering, or 3+ years with a Master's degree or higher
· Industry experience developing navigation algorithms for autonomous mobile robots
· Strong proficiency in Python
· Strong understanding of robot kinematics and dynamics
· Experience with motion planning and robotic control systems
· Experience with graph search and planning algorithms such as A*, RRT, and PRM
· Experience with mathematical optimization techniques including convex optimization and nonlinear programming
· Experience with mobile robot control algorithms such as PID, Pure Pursuit, and LQR
· Experience deploying and supporting navigation features across fleets of robots
· Strong debugging, performance optimization, and system design skills
· Excellent communication and collaboration abilities

Desired Skills & Experience
· Experience with C++ development
· Experience with trajectory optimization and model predictive control (MPC)
· Experience with collision avoidance and autonomous recovery behaviors
· Experience applying mathematical optimization to robotic motion planning
· Familiarity with machine learning techniques for robotics, including behavior cloning and diffusion policies
· Experience leading engineering teams within Agile or Scrum environments
· Experience designing scalable robotics software architectures
· Experience working in warehouse automation, logistics robotics, or autonomous systems

What You Will Be Doing

Tech Breakdown
· 40% Navigation & Motion Planning Development
· 25% Controls & Optimization Algorithms
· 20% Robotics Software Architecture
· 15% Team Leadership & Mentorship

Daily Responsibilities
· 65% Hands On
· 15% Technical Leadership
· 20% Team Collaboration

The Offer
• Bonus eligible
• Equity eligible

You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· Unlimited Paid Time Off (PTO)
· 401(k) with company contribution
· Paid Holidays

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.