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Applied Computing Jobs in New York (NOW HIRING)

Design Verification Engineer

New York, NY · On-site

$200K - $400K/yr

About Normal Computing Normal Computing builds silicon that turns thermal noise from an obstacle ... The through-line is your DV expertise, applied to silicon that computes differently than anything ...

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Applied Computing information

See New York salary details

$23K

$119K

$198K

How much do applied computing jobs pay per year?

As of Aug 13, 2026, the average yearly pay for applied computing in New York is $119,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $153,200.00 per year, depending on experience, location, and employer.

What can you do with an applied computing degree?

An applied computing degree prepares individuals for roles such as software developer, systems analyst, data analyst, or IT specialist. Graduates can work in software development, network administration, cybersecurity, or data management, often using programming languages, databases, and technical tools. The degree provides practical skills for technology-focused careers across various industries.

What are the key skills and qualifications needed to thrive in an applied computing position, and why are they important?

To thrive in Applied Computing, you need strong analytical abilities, problem-solving skills, and a solid background in computer science or related disciplines, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages, databases, cloud platforms, and certifications like CompTIA, AWS, or Microsoft Azure is highly beneficial. Strong teamwork, effective communication, and project management skills help you excel in multi-disciplinary settings. These qualities enable professionals to design and implement effective technical solutions to complex, real-world problems across industries.

What types of projects or challenges might I encounter in an applied computing role?

In an Applied Computing position, you may work on diverse projects such as developing custom software applications, optimizing business processes with automation, analyzing data for actionable insights, or integrating new technology solutions within existing systems. Challenges often include translating organizational needs into technical requirements, staying current with rapidly evolving technologies, and collaborating closely with stakeholders across departments. You’ll typically collaborate with IT teams, subject matter experts, and sometimes clients to ensure solutions are practical and user-centered. These varied responsibilities keep the role dynamic and provide continual opportunities to expand your technical and professional expertise.

What do you do in applied computing?

Applied computing involves using computer science principles to solve real-world problems through software development, data analysis, and system implementation. Professionals in this field often work with programming languages, algorithms, and hardware to create practical solutions across various industries.

What is an applied computing job?

An Applied Computing job involves using computing principles and technologies to solve real-world problems in various industries. Professionals in this field apply software development, data analysis, cybersecurity, and IT management skills to improve business operations and decision-making. These roles can be found in sectors like healthcare, finance, manufacturing, and government, where technology is integrated to optimize processes and drive innovation.

What job categories do people searching Applied Computing jobs in New York look for? The top searched job categories for Applied Computing jobs in New York are:
What cities in New York are hiring for Applied Computing jobs? Cities in New York with the most Applied Computing job openings:
Infographic showing various Applied Computing job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $119,003 per year, or $57.2 per hour.

Research Engineer, Domain Scaling

Normal Computing

New York, NY • On-site

$250K - $340K/yr

Full-time

Re-posted 6 days ago


Job description

About Normal Computing
Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.
We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.
Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.
The Role
The Domain Scaling team has the goal of making Normal's Agents world-class at anything Chip-Engineering and EDA-related, UVM, debugging, analog, lean formalization, materials-aware optimization, etc. This is a unique role that combines executing directly on applied research and data sourcing (real-world and synthetic) to improve our models.
You'll own the end-to-end process of creating RL environments for new capabilities: identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.
What You Will Own
  • Own the data strategy for knowledge work verticals end-to-end, from task sourcing through RL training
  • Build and manage relationships with external vendors, including outreach, evaluation of data quality, and reward design
  • Collaborate with domain experts to design data pipelines and evaluations
  • Explore novel ways of creating RL environments for high-value tasks
  • Develop and improve QA frameworks to catch reward hacking and ensure environment quality
  • Run generalization experiments to measure how data strategy changes improve model capabilities
  • Partner with other AI researchers and product teams to translate capability goals into training environments, evals, and real product features

What Makes You a Great Fit
  • Have experience with post-training large language models for specific domains or real-world use cases
  • Have experience with reinforcement learning, reward design, or training data curation for LLMs
  • Are comfortable managing technical vendor relationships and iterating quickly on feedback
  • Find value in reading through datasets to understand them and spot issues
  • Have strong cross-functional collaboration skills
  • Are passionate about making AI more useful for chip development and recursive hardware self-improvement
  • Are excited about a role that includes a combination of applied research and hands-on data work

Bonus Points
  • Have experience training production ML systems
  • Have experience designing evals or benchmarks for LLMs
  • Have domain expertise in a vertical where we would like to make our models more useful
  • Have experience working with external vendors or technical partners

Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.