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Applied Computing Jobs in Manhattan, NY (NOW HIRING)

Normal Computing Corporation

AI Engineer

Manhattan, NY · On-site

$125 - $150/hr

Normal Computing | Incredible Opportunities The Normal Team builds foundational software and ... Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained ...

Normal Computing

Software Engineer, Product

New York, NY · On-site

$200K - $400K/yr

Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical ...

Normal Computing

Software Engineer, Backend

New York, NY · On-site

$200K - $400K/yr

Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical ...

Normal Computing

Hardware Engineer, FPGA

New York, NY · On-site

$200K - $400K/yr

Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical ...

Normal Computing

Silicon Software Lead

New York, NY · On-site

$200K - $400K/yr

Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical ...

Normal Computing

AI Research Resident

New York, NY · On-site

$150K/yr

Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical ...

Capital One

Applied Researcher II

Manhattan, 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 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 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

Manhattan, 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

Manhattan, 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

Staff Applied Researcher

Manhattan, NY · On-site

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

Capital One

Applied Researcher II

Manhattan, 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 · 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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All JobsApplied Computing JobsApplied Computing Jobs in Manhattan, NY

Applied Computing information

See Manhattan, NY salary details

$23.2K

$120K

$199.8K

How much do applied computing jobs pay per year?

As of Sep 7, 2026, the average yearly pay for applied computing in Manhattan, NY is $120,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $154,500.00 per year, depending on experience, location, and employer.

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 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 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 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 problem-solving skills.

What job categories do people searching Applied Computing jobs in Manhattan, NY look for?

The top searched job categories for Applied Computing jobs in Manhattan, NY are:

Applied Computing jobs near you
Infographic showing various Applied Computing job openings in Manhattan, NY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,046 per year, or $57.7 per hour.

Quantum Computing Research Scientist - Quantum Error Correction - Vice President

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
JPMorganChase is a leading financial institution seeking a Vice President quantum computing researcher within the Global Technology Applied Research (GTAR) team. The role involves developing and optimizing protocols for universal fault-tolerant quantum computation and implementing these protocols for experimental validation on quantum computing hardware.
Responsibilities:
• Lead a research agenda for the advancement and validation of state-of-the-art methods for universal fault-tolerant quantum computation on existing and near-term quantum computing hardware
• Lead the development of circuit gadgets and protocols for universal fault-tolerant quantum computation (FTQC)
• Lead the numerical investigation and optimization of fault-tolerant gadgets for real-world execution on quantum computing hardware
• Lead the implementation and experimental validation of protocols for universal FTQC on quantum computing hardware
• Document analytical, numerical, and experimental results in scientific papers
• Implement, maintain, and manage a codebase that colleagues without expertise in quantum error correction (QEC) or fault-tolerance can use to run quantum algorithms fault-tolerantly on quantum computing hardware
Qualifications:
Required:
• Ph.D. degree in computer science, physics, math, engineering, or related fields, or equivalent experience, plus at least 2 years of relevant experience (industry or postdoc)
• Fluency with the basics of qubit-based stabilizer QEC: stabilizer and subsystem codes; CSS codes; parity check matrices; logical and gauge operators; thresholds and pseudo-thresholds; Clifford and non-Clifford gates; Shor, Steane, and Knill QEC; code distance and effective (circuit) distance
• Experience with analytical and numerical circuit-level investigation of QEC and FTQC: constructing circuits for QEC cycles, state preparation, and logical operations; specifying noise models; building detector error models; running numerical simulations; decoding; computing logical error rates
• Experience in at least one of: designing fault-tolerant gadgets, magic-state distillation or cultivation, generalized code surgery, code adapters and extractors, dynamical codes, ZX calculus
• Experience building quantum circuits in a major software framework such as Cirq, Qiskit, or Pytket
• Fluency in at least one of: Python, Julia, C++, Rust
• Strong oral and written communication skills, strong scientific publication record
Preferred:
• Experience developing a successful research program focused on the development of protocols for universal FTQC
• Experience designing fault-tolerant gadgets for state preparation and logical gates
• Understanding of magic-state distillation and cultivation protocols
• Understanding of generalized code surgery, code adapters and extractors
• Understanding of concatenated code constructions and code families
• Understanding of dynamical codes
• Understanding of ZX calculus and fault-tolerant rewrites and experience with circuit-level quantum compilation
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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