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Computer Science 200K Jobs (NOW HIRING)

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

Graphite

Data Scientist

New York, NY · On-site

$160/hr

What we're looking for Bachelor's or Master's degree in Computer Science, Data Science, or related ... Competitive comp: ($160-200k base + substantial equity) . We're backed by some of the best ...

Power3 Solutions

$160K - $200K/yr

Salary:$160k - $200k * Provides support for a program, organization, system, or enclave ... Bachelor of Science degree in Computer Science, Information Assurance, Information Security, or ...

Swarmint LLC

Full Stack Developer

Arlington, VA · On-site

$150K - $200K/yr

Bachelor's degree in Computer Science, Software Engineering, or related field * 5-10+ years ... Competitive salary ($150K-$200K based on experience) * Annual performance bonus and 401k match

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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 Jul 2, 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 profession pays 400,000 a year?

In the field of computer science, senior software engineers, data scientists, and technical managers at large tech companies can earn salaries of $400,000 or more annually, especially with bonuses and stock options. These roles typically require advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

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.

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 is the highest paid job in computer science?

In computer science, roles such as Chief Technology Officer (CTO), Solutions Architect, and AI Research Scientist tend to be among the highest paid, often earning over $200,000 annually. These positions typically require advanced skills, leadership experience, and often involve overseeing technology strategy or developing cutting-edge AI and machine learning systems.

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.

What professions make 500,000 a year?

Professions that can earn $500,000 or more annually include senior software engineers, data scientists, and specialized roles in computer science such as machine learning engineers and cybersecurity directors. These roles often require advanced skills, extensive experience, and sometimes leadership positions or ownership of high-value projects.

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 job can I make 200,000 a year?

In the field of computer science, roles such as senior software engineer, solutions architect, or machine learning engineer often have salaries of $200,000 or more, especially with extensive experience, advanced skills, and certifications. These positions typically require strong programming skills, knowledge of cloud platforms, and sometimes management responsibilities or specialized expertise in areas like AI or cybersecurity.
Quant Strategist

Quant Strategist

Triumph

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

The Role

As a Quant Strategist, you'll sit at the intersection of mathematics, computer science, and core business decisions. You'll have a direct impact on all facets of the business, applying your quantitative rigor directly to what drives revenue and player experience. You'll build the models and frameworks that power our most critical business decisions.

You'd be joining a small, high-output quant team (4 people today) that operates more like a trading desk than a data org. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems.

The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and interesting as what you'd find at a quant fund - constrained optimization, adversarial dynamics, real-money risk - but with more ownership, faster feedback loops, and direct impact on what gets built. You ship something, and you see it in the numbers the next day.

What You'll Do

  • Develop and optimize core risk-taking and revenue-generating algorithms — the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's business.

  • Own the quantitative framework for Rips by Triumph: pricing models, pack economics, and rarity calibration.

  • Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology.

  • Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.

  • Partner closely with engineering, product, and leadership to translate model outputs into real-time production systems and strategic decisions.

  • Design and build machine learning models that directly inform acquisition spend and product decisions.

Qualifications

  • Bachelor's degree in a quantitative subject: math, physics, computer science, data science, or a related discipline.

  • True depth and mastery over any quantitative domain: probability, statistics, applied machine learning, computer science, or math. We want spiky people who are confident that they are the best in their discipline.

  • Proficiency in Python and SQL.

  • Experience working with large amounts of data.

Preferred

  • Prior experience as a quantitative trader or quantitative researcher.

  • Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.

  • Nationally competitive in any activity. Some members from our company include national champions in debate, Clash Royale, and Poker.

Why Triumph?

  • High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.

  • High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.

  • High energy. Passionate team who are proud of our work and velocity (16x year over year growth).

  • Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.

Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco.

Compensation Range: $200K - $400K