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Computer Science Startup Jobs in Massachusetts (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a ... Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup ...

1910

AI Research Scientist I

Boston, MA · On-site

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * A strong understanding ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

1910

AI Research Scientist I

Boston, MA

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * A strong understanding ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

1910

AI Research Scientist III

Boston, MA · On-site

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * 3+ years of relevant ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

1910

AI Research Scientist III

Boston, MA

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * 3+ years of relevant ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

1910

AI Research Scientist II

Boston, MA · On-site

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * 2 years of relevant ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

1910

AI Research Scientist II

Boston, MA

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * 2 years of relevant ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

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All JobsComputer Science Startup JobsComputer Science Startup Jobs in Massachusetts

Computer Science Startup information

See Massachusetts salary details

$91.2K

$111.9K

$148K

How much do computer science startup jobs pay per year?

As of Jul 16, 2026, the average yearly pay for computer science startup in Massachusetts is $111,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $125,600.00 per year, depending on experience, location, and employer.

What business can I start with computer science?

A computer science startup can focus on software development, app creation, or IT consulting. Skills in programming, project management, and understanding market needs are essential for launching and growing such a business.

What are the key skills and qualifications needed to thrive in the Computer Science Startup position, and why are they important?

To succeed in founding or leading a computer science startup, you need a solid background in computer science or software engineering, an entrepreneurial mindset, and experience in product development. Familiarity with programming languages, cloud platforms, and agile development tools, as well as knowledge of industry certifications like AWS Certified Developer or ScrumMaster, can be highly beneficial. Strong skills in communication, problem-solving, adaptability, and leadership are crucial to navigate uncertainties and drive team collaboration. These skills and qualities are vital to innovate effectively, secure investment, and build scalable tech solutions in a highly competitive market.

Is computer science dead due to AI?

Computer science remains a vital field for software development, algorithms, and system design, even as AI advances. AI creates new opportunities for computer science professionals to develop innovative applications, tools, and ethical frameworks, making the discipline more relevant than ever. Skills in programming, data analysis, and machine learning are highly sought after in the evolving tech landscape.

What 5 jobs will remain after 2030?

In a computer science startup, roles such as software developers, cybersecurity specialists, data scientists, AI/machine learning engineers, and product managers are expected to remain in demand after 2030. These jobs rely on technical skills, problem-solving, and adaptability to evolving technologies, making them resilient in a rapidly changing tech environment.

What is a Computer Science Startup job?

A Computer Science Startup job typically involves working in a newly founded tech company, focusing on developing innovative software, algorithms, or systems. Employees in these roles often wear multiple hats, including coding, product development, and problem-solving. Startups require adaptability, creativity, and a willingness to work in a fast-paced, evolving environment. Unlike established companies, startups may offer more autonomy and opportunities for rapid career growth but can also come with higher uncertainty.

Are CS grads struggling to find jobs?

Computer Science graduates often face competitive job markets, but demand remains strong for skills in programming, software development, and data analysis. Success depends on relevant experience, internships, and proficiency in popular tools like Python, Java, or cloud platforms. Continuous learning and certifications can improve employment prospects.

What are the typical challenges faced in a computer science startup and how can I prepare for them?

Working in a computer science startup often involves managing rapid changes in technology, tight deadlines, and the pressure to deliver innovative solutions with limited resources. Team members frequently wear multiple hats, balancing development, testing, and sometimes even customer support or business planning. To prepare, it’s helpful to stay up-to-date with industry trends, cultivate flexibility in your work style, and strengthen your project management skills. Building a strong network and seeking mentorship within the startup and tech communities can also provide practical support and guidance. Embracing a proactive, problem-solving approach will help you navigate and thrive in this dynamic environment.

What are popular job titles related to Computer Science Startup jobs in Massachusetts? For Computer Science Startup jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Computer Science Startup jobs in Massachusetts look for? The top searched job categories for Computer Science Startup jobs in Massachusetts are:
Computer Science Startup jobs near you
Infographic showing various Computer Science Startup job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $111,942 per year, or $53.8 per hour.
Computational Mechanics Scientist (Structural Solver)

Computational Mechanics Scientist (Structural Solver)

Flexcompute Inc.

Watertown, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory
We prioritize fundamental understanding over tool proficiency. We are looking for an architect who can derive the governing equations from first principles and implement them into a robust numerical framework.
About Flexcompute
We are a "Physics Intelligence" company making hardware innovation as easy as software. Our solvers (Flow360, Tidy3D) are not just faster; they are effectively instant, reducing simulation times from days to minutes using massive GPU parallelism and proprietary algorithms.
  • Intellectual Density: We maintain an exceptionally high talent bar. Our team of ~90 includes over 50 PhDs from MIT, Stanford, and top research labs. You will work alongside peers who will challenge your thinking and elevate your work daily.
  • Impact: Our technology is currently used to design optical interconnects, 3D chiplets, quantum computing chips, eVTOL aircraft, and next-gen wind turbines. You are building the "math engine" that drives real-world engineering breakthroughs.
  • Stability & Growth: We are a Series C stage company with significant funding, revenue-generating products, and a clear path to disrupting the $20B+ simulation market.

Requirements
  • Education: Ph.D. in Applied Mechanics, Physics, Applied Mathematics, or a related field.
  • Deep Physics Intuition: You possess an intuitive grasp of continuum mechanics-elasticity, plasticity, contact mechanics, and wave propagation. You can predict how a structure should behave before the simulation runs.
  • Advanced Numerical Analysis: You have a theoretical mastery of numerical PDEs. You can mathematically prove the consistency, stability, and convergence of a scheme. You understand the trade-offs between implicit/explicit integration and various spatial discretizations.
  • Strong General Programming: Proficiency in at least one high-level language (C++, Python, Julia, Rust, or Fortran) with a focus on algorithmic efficiency. You understand data structures, computational complexity (Big O), and how to write maintainable research code.
  • First-Principles Thinking: Demonstrated ability to solve novel problems where no textbook solution exists.

Preferred (But Not Required)
  • Interest in learning High-Performance Computing (HPC) and GPU architecture.
  • Experience with C++ for scientific computing.
  • Exposure to multi-physics coupling (fluid-structure interaction, thermal-stress).

Key Responsibilities
  • Solver Formulation: Derive and implement governing equations for structural mechanics, ensuring thermodynamic consistency and physical accuracy across linear and non-linear regimes.
  • Numerical Architecture: Design the core numerical framework. You will determine the optimal discretization strategies (FEM, DG, IGA, etc.) to balance stability, accuracy, and computational cost.
  • Algorithmic Development: Specific language is secondary to code quality. You will write clean, modular, and efficient algorithms to solve large-scale systems of equations.
  • Physics-Driven Validation: Diagnose solver behavior not just as code execution, but as physical modeling. You must distinguish between numerical instability and physical phenomena.

Benefits
  • Collaborative Autonomy: We operate with high trust. You own your module, but you have immediate access to world-class experts in electromagnetics and fluid dynamics for cross-domain problems.
  • Continuous Learning: We host regular internal seminars where team members teach each other-from "Advanced Linear Algebra" to "GPU Memory Hierarchies."
  • Compensation: Competitive salary + meaningful equity in a fast-growing startup.
  • Well-being: Comprehensive Medical, Dental, and Vision insurance; 401(k); and a gym/fitness allowance.
  • Environment: A flat hierarchy where the "best idea wins," regardless of job title.

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