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Computer Science 200K Jobs (NOW HIRING)

SW5 Consulting

Senior Front End Engineer

Manhattan, NY · Remote

$200K/yr

Degree in computer science, HCI, visual design or a similar field. The role is fully remote and will pay a mid-level Engineer $150k and a Senior Engineer $200k + health, dental, disability, and life ...

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science ... Compensation Range: $200K - $400K

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Qualifications * Bachelor's degree in a quantitative subject: math, physics, computer science ... Compensation Range: $200K - $400K

Novig

Backend Engineer, L4

New York, NY · On-site

$1.08K/day

Backend Engineer $200k - $230k • meaningful equity About Novig Novig is building America's #1 ... Hold a Bachelor's or Master's degree in Computer Science or a related technical field * Possess 3+ ...

SW5 Consulting

Senior API Engineer

Manhattan, NY · Remote

$115.20K - $158.20K/yr

Degree in computer science, applied mathematics, or a related field.The positions are paying circa $150k for mid-level and $200k + for Seniors. They offer health, dental, disability, and life ...

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Computer Science 200K information

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$74.5K

$119.6K

$181K

How much do computer science 200k jobs pay per year?

As of Jun 3, 2026, the average yearly pay for computer science 200k in the United States is $119,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Scientist earning $200K, and why are they important?

To thrive as a senior-level Computer Scientist, you need advanced expertise in programming, algorithms, systems design, and often a graduate degree in computer science or a related field. Mastery of technical tools such as Python, Java, cloud platforms (AWS, Azure), and familiarity with advanced systems like distributed computing or machine learning frameworks is expected, along with relevant certifications. Exceptional problem-solving, leadership, and communication skills help you collaborate effectively and drive complex projects to completion. These skills and qualifications are essential for innovating, leading teams, and delivering high-impact solutions at the highest levels of the field.

What are some common challenges faced by computer scientists working on large-scale projects with high compensation?

Computer scientists working on high-compensation roles, especially at the $200K level, are often tasked with large-scale, complex projects that require advanced technical expertise and strong collaboration skills. Common challenges include managing system scalability, ensuring high performance under heavy loads, and maintaining code quality in rapidly evolving environments. Additionally, these roles often require balancing multiple priorities, mentoring junior team members, and effectively communicating technical solutions to stakeholders. Working successfully in this environment typically involves staying updated with the latest technologies and best practices while fostering a collaborative team culture.

What are Computer Science 200K jobs?

Computer Science 200K jobs refer to positions in the technology and computer science sector that offer annual salaries of $200,000 or more. These roles are typically senior-level, such as principal software engineer, engineering manager, data scientist, machine learning engineer, or technical architect. Achieving such compensation usually requires significant experience, advanced technical skills, and often leadership or specialized expertise. These positions are most commonly found at large tech companies, startups, or organizations in high-cost-of-living areas. The compensation may include base salary, bonuses, and stock options.

Can I make 200K with a computer science degree?

Computer Science professionals can earn $200,000 or more annually, especially with experience, advanced skills, or in high-demand roles such as software engineering, data science, or machine learning. Salaries vary based on location, industry, and company size, with senior positions and specialized expertise often commanding higher compensation.

What is the difference between Computer Science 200K vs Software Engineer?

AspectComputer Science 200KSoftware Engineer
Required CredentialsBachelor's or higher in Computer Science or related field; certifications like AWS, CiscoBachelor's in Computer Science or related; coding bootcamps beneficial
Work EnvironmentTech companies, startups, research labsTech firms, software development companies, startups
Industry UsageHigh demand in tech, finance, consultingPrimarily in software development, app creation, web services
Search & Comparison IntentUnderstanding high-paying tech roles, career pathsJob responsibilities, salary expectations, career growth

Computer Science 200K typically refers to high-paying roles in tech that require a strong educational background and certifications. Software Engineers focus on designing, developing, and maintaining software applications. While both roles often overlap in skills and work environments, Computer Science 200K emphasizes salary and advanced expertise, whereas Software Engineer highlights specific job functions.

Infographic showing various Computer Science 200K job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 64% In-person, 5% Hybrid, and 31% Remote job distribution, with an average salary of $119,567 per year, or $57.5 per hour.

AI/ML Software Engineer

thejosefgroup.com

Sarasota, FL

Other

Posted 17 days ago

Job description

AI/ML Engineer

Sarasota, FL

TS/SCI

120K-200K

Hiring an AI/ML Software Engineer to support signal processing efforts in a cleared environment. This role is ideal for someone who combines deep technical knowledge with curiosity, initiative, and a desire to work on impactful technical challenges.

What you'll bring:

  • A degree in Computer Science, Electrical Engineering, Mathematics, or a related field
  • At least 1 year of hands-on experience in applied AI/ML (3–5 years preferred)
  • Strong foundation in deep learning, transformer architectures, and attention mechanisms
  • Proficiency in modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Programming experience with statistical and signal analysis libraries
  • Familiarity with MLOps and full pipeline development — from model design to testing and deployment

Preferred (not required):

  • Knowledge of digital signal processing and RFML
  • Experience working with Large Language Models (LLMs), including fine-tuning and prompt design
  • Interest in autonomous systems and real-time decision-making using AI

Apply