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Mid Level Neuromorphic Computing Jobs in Hackensack, NJ

... coach to mid-level developers and analysts, allocating work as necessary Experience in using ... Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) Background in ...

Big Data Engineer / Sr. Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

... mid-range companies and upcoming companies via its onsite, Offshore and in-house service models ... Expert-level proficiency in at-least one of Java, C++ or Python (preferred). Scala knowledge a ...

Mentor and provide technical guidance to associate and mid-level developers. * Partner closely with ... Cloud computing concepts * Test-driven development (TDD) * Domain-driven design (DDD) * Strong ...

Solutions Architect

New York, NY · On-site

$90K - $175K/yr

You will thrive in this role if you have at least: * 3+ years of software development experience with mid-level proficiency * Experience designing and building distributed, fault-tolerant computing ...

ASIC Tech Lead (Analog)

Union, NJ · On-site

$180 - $280/hr

Mentor and technically grow junior and mid-level analog designers; conduct design reviews and set ... neuromorphic circuit concepts * Experience with RFIC or mmWave design, particularly ...

Solutions Architect

New York, NY · On-site

$90K - $175K/yr

You will thrive in this role if you have at least: * 3+ years of software development experience with mid-level proficiency * Experience designing and building distributed, fault-tolerant computing ...

Showing results 41-60

Mid Level Neuromorphic Computing information

See Hackensack, NJ salary details

$12K

$94.5K

$123.2K

How much do mid level neuromorphic computing jobs pay per year?

As of Sep 6, 2026, the average yearly pay for mid level neuromorphic computing in Hackensack, NJ is $94,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $117,200.00 per year, depending on experience, location, and employer.

What is a mid level neuromorphic computing professional?

Mid level neuromorphic computing professionals are specialists with several years of experience who design, develop, and optimize hardware and software systems inspired by the structure and function of the human brain. They typically work on building and programming neuromorphic chips, developing algorithms that mimic neural processes, and integrating these systems into real-world applications such as robotics or edge computing. Their expertise bridges neuroscience, computer engineering, and artificial intelligence, and they often collaborate with interdisciplinary teams to advance brain-inspired computing technologies.

What are the key skills and qualifications needed to thrive as a mid level neuromorphic computing engineer?

To thrive as a Mid Level Neuromorphic Computing Engineer, you need a solid background in computer engineering, neuroscience, and machine learning, usually supported by a relevant degree and experience with neural network architectures. Familiarity with tools like Python, MATLAB, TensorFlow, and simulation platforms such as NEST or SpiNNaker, along with knowledge of specialized hardware, is typically required. Strong problem-solving, collaboration, and communication skills help you innovate and effectively share complex ideas with multidisciplinary teams. These skills and qualifications are crucial for developing advanced neuromorphic systems that bridge neuroscience and AI, pushing the boundaries of efficient computing.

What are some common challenges faced by professionals in mid level neuromorphic computing roles, and how can they be addressed?

Professionals in mid-level neuromorphic computing roles often encounter challenges such as integrating novel hardware with existing software systems, managing the complexity of neural-inspired algorithms, and keeping pace with rapid advancements in the field. Collaborating closely with multidisciplinary teams—including hardware engineers, data scientists, and neuroscientists—can help address these challenges. Additionally, staying updated on the latest research and industry trends, as well as participating in collaborative projects, can enhance problem-solving skills and foster innovation in this evolving area.

What is the difference between Mid Level Neuromorphic Computing vs Mid Level Machine Learning Engineer?

AspectMid Level Neuromorphic ComputingMid Level Machine Learning Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of neuromorphic hardwareBachelor's in Computer Science, Data Science, or related; experience with ML frameworks
Work EnvironmentResearch labs, hardware development, AI hardware companiesTech companies, startups, data-driven organizations
Industry UsageAI hardware, neuromorphic chip design, cognitive computingSoftware development, AI applications, data analysis

Mid Level Neuromorphic Computing professionals focus on hardware and cognitive architectures inspired by the brain, often working with specialized hardware and research teams. In contrast, Mid Level Machine Learning Engineers develop algorithms and models primarily in software to solve data-driven problems. Both roles require a strong technical background but differ in their focus on hardware versus software applications.

What job categories do people searching Mid Level Neuromorphic Computing jobs in Hackensack, NJ look for?

The top searched job categories for Mid Level Neuromorphic Computing jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Mid Level Neuromorphic Computing jobs?

Cities near Hackensack, NJ with the most Mid Level Neuromorphic Computing job openings:

Python Developer - Vice President

Citigroup Inc.

Rutherford, NJ • On-site

$142.32 - $213.48/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

39th of 175 rated banks


Job description

Job Description

This a development position for establishing and implementing new or revised applications and programs in the Technology team. As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners. You will have to address complex problems involving financial data with specific focus on credit risk management. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems.

Responsibilities
  • Architect, Design, and implement robust Python-based solution
  • Lead global Technology Teams across different time zones, enabling a hybrid work model
  • Drive Object-Oriented Programming (OOPS) principle-based development and mentor team members to leverage advanced python coding techniques and features
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Experience in using writing and using shell script and other Linux features
  • Implement Unit Testing and TDD to ensure software quality and maintainability
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Proactive.
Qualifications
  • 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
  • 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
  • Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
  • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
  • Proficiency with tools and LLMs.
  • Ability to work independently and collaboratively within a team.
  • Experience in GenAI/LLMs projects.
  • Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
  • Background in financial business-like banking, risk management.
  • Should be familiar with capital markets and financial instruments and modeling.
Education
  • Bachelor’s degree/University degree or equivalent experience in STEM.
  • PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
Primary Location

Rutherford New Jersey United States

Primary Location Full Time Salary Range

$142,320.00 - $213,480.00

Benefits

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Anticipated Posting Close Date

Jul 03, 2026

EEO Statement

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

Disability Accommodation

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Citigroup Inc logo

About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US