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Applied Computing Jobs in New York (NOW HIRING)

Normal Computing

AI Engineering Lead

New York, NY · On-site

$250K - $340K/yr

About Normal Computing Normal Computing builds silicon that turns thermal noise from an obstacle ... This work sits at the intersection of applied AI, ML systems, agents, model evaluation, software ...

Normal Computing

Design Verification Engineer

New York, NY · On-site

$140K - $180K/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 ...

Normal Computing

AI Engineer

New York, NY · On-site

$200K - $300K/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 ...

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How much do applied computing jobs pay per year?

As of Jul 19, 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 in various industries.

Which 3 jobs will survive AI?

Applied Computing professionals such as software developers, cybersecurity analysts, and data scientists are likely to continue thriving as AI automates routine tasks. These roles require complex problem-solving, creativity, and specialized technical skills that are less easily replaced by AI. Continuous learning and adapting to new tools like machine learning frameworks are essential for long-term job security.

What are the key skills and qualifications needed to thrive in the 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 jobs can I get with applied science?

Applied science graduates can pursue careers such as research scientist, data analyst, systems analyst, software developer, or quality assurance specialist. These roles often require strong problem-solving skills, technical knowledge, and proficiency with tools like programming languages or laboratory equipment.

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 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 is the highest paying computing job?

In applied computing, senior roles such as Chief Technology Officer (CTO), solutions architect, and data science director tend to have the highest salaries, often exceeding six figures. These positions typically require advanced skills, extensive experience, and leadership responsibilities in technology development and strategy.
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 July 2026, with employment types broken down into 76% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $119,003 per year, or $57.2 per hour.

AI Engineering Lead

Normal Computing

New York, NY • On-site

$250K - $340K/yr

Full-time

Re-posted 8 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 our AI Engineering Lead, you will lead a team of engineers building systems for AI-native EDA and advanced hardware workflows. This work sits at the intersection of applied AI, ML systems, agents, model evaluation, software engineering, and semiconductor domain complexity.
You will be responsible for setting technical direction, managing execution, developing engineers, and staying close to the implementation details that determine whether these systems work in practice. The team is building AI systems where correctness, traceability, and reliability matter, especially when agents are operating against formal or highly structured engineering problems.
This is a hands-on leadership role for someone who has grown from strong individual contribution into technical leadership or management. You should be comfortable moving between architecture, model behavior, evaluation, implementation tradeoffs, hiring, and team development. The strongest candidates will have built meaningful AI systems in technical domains where models need to operate against real constraints.
What You'll Own
  • Team Leadership: Lead and manage a team of AI engineers; hire, mentor, and develop strong engineers as the team scales.
  • Technical Direction: Set direction for applied AI and ML engineering work across Normal's product and platform areas.
  • Hands-On Depth: Stay hands-on with architecture, implementation decisions, code review, debugging, evaluation, and system design; contribute directly to critical technical work when needed.
  • Structured AI Systems: Build AI systems that operate against structured engineering workflows, formal specifications, and objective correctness signals.
  • Cross-Functional Translation: Partner with product, engineering, research, and leadership to translate ambiguous goals into clear technical plans.
  • Execution Model: Help define the operating rhythm, engineering standards, and execution model for the AI team; identify technical risks early and balance model quality, reliability, product impact, and velocity.

What Makes You a Great Fit
  • Direct experience across AI engineering, ML engineering, applied AI, production ML systems, or AI infrastructure
  • Experience as a technical lead, staff-level IC, engineering manager, or hybrid lead/manager for AI/ML engineering teams
  • Track record of building and shipping meaningful AI systems in production or high-impact technical environments
  • Strong hands-on technical ability, with comfort reviewing designs, debugging systems, and contributing directly when needed
  • Experience working with LLMs, RL, agents, model evaluation, inference systems, optimization, or ML infrastructure
  • Ability to create clarity in ambiguous technical areas and help teams move quickly without losing rigor
  • Experience managing or mentoring engineers while maintaining close technical involvement
  • Strong ownership mindset and ability to operate in a small, high-caliber team

Bonus Points
  • Experience applying agentic systems and AI to EDA, semiconductor workflows, circuits, hardware design, verification, or other advanced engineering domains
  • Experience leading AI work in a startup, research-heavy, or zero-to-one product environment
  • Experience hiring and scaling small, senior engineering teams

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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