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Applied Computing Jobs in New York (NOW HIRING)

Normal Computing

AI Engineer

New York, NY · On-site

$200K - $400K/yr

About Normal Computing Normal Computing builds silicon that turns thermal noise from an obstacle ... Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained ...

Amazon

Applied Scientist, Ads Econ

New York, NY · On-site

As an Applied Scientist on this team, you will: • Build full life-cycle machine learning ... computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux ...

Capital One

Applied Researcher II

New York, NY · On-site

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems ... computing platforms. * Has a deep understanding of the foundations of AI methodologies.

Capital One

Applied Researcher II

New York, NY · On-site

Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing ... computing platforms. * Has a deep understanding of the foundations of AI methodologies.

Capital One

Applied Researcher II

New York, NY

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems ... computing platforms. * Has a deep understanding of the foundations of AI methodologies.

Capital One

Applied Researcher II

New York, NY · On-site

Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing ... computing platforms. * Has a deep understanding of the foundations of AI methodologies.

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Applied Computing information

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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 are popular job titles related to Applied Computing jobs in New York? For Applied Computing jobs in New York, the most frequently searched job titles are:
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:
Applied Computing jobs near you
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.

AI Engineer

Normal Computing

New York, NY • On-site

$200K - $400K/yr

Full-time

Re-posted 13 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
As an AI Engineer at Normal, you will build production systems that understand large technical documents, like chip design specifications, and turn them into code. You'll ship real improvements to customers weekly while pushing the boundaries of what's possible in AI for hardware through reinforcement learning, agentic coding, and exceptional software engineering.
What You Will Own
  • End-to-End Development: Lead AI development from initial concept through production deployment and iteration.
  • Document Understanding: Design and implement LLM-powered solutions that extract meaning from complex technical specifications.
  • Agentic Systems: Handle multi-modal complexity and explore multi-agent and RL approaches for agentic code generation and tool use.
  • Production Quality: Design strategies to manage latency, output variance, and graceful error handling at scale.
  • Platform Integration: Collaborate with product and engineering teams to embed AI capabilities seamlessly into our platform.
  • Mentorship: Guide junior engineers and establish best practices for AI development.

What Makes You a Great Fit
  • Previous experience delivering production AI systems involving language models, preferably involving document understanding and/or agentic workflows
  • Solid software engineering skills with experience in distributed systems and production-grade code
  • Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face, transformers)
  • Hands-on experience with prompt engineering, fine-tuning, and deploying large language models
  • Ability to wrangle, clean, and preprocess large-scale, heterogeneous datasets
  • Ability to explain complex AI concepts to both technical and non-technical stakeholders

Bonus Points
  • Experience with hardware design, hardware verification, or EDA tooling
  • Experience deploying AI systems in mission-critical or high-stakes production environments
  • Experience with cloud platforms (AWS, GCP, Azure) for large-scale AI infrastructure
  • Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, or program synthesis
  • Open-source contributions or publications in AI/ML venues
  • Skill in balancing cutting-edge innovation with production reliability and pragmatism

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.

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