New York, New York, United States · Hybrid
$275k–$340k/yr
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…
Skills: Synthetic Data Generation, Data Flywheel Implementation, ML Post-training, Data Pipeline Engineering, Data Acquisition
New York, New York, United States · On-site
$220k–$300k/yr
Job Description Purpose of the role We are looking for a Director, Banks to join our FI coverage team to establish and nurture profitable partnerships with financial Institutions. It's the bridge between the bank's offer…
Skills: Client Relationship Management, Financial Analysis, Strategic Planning, Risk Management, Treasury Banking
New York, New York, United States · On-site
$115k–$135k/yr
Job Description The Treasury Services Associate role is a vital coverage team member that plays an integral part in acquiring, manage and maintain the client relationships. This position is designed to provide the tools …
Skills: Treasury services, Cash management, Financial analysis, Relationship management, Sales support
New York, New York, United States · On-site
Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll wor…
Skills: Reinsurance Claims Management, Large Loss Reporting, Reinsurance Reporting, Claims Auditing, Bordereaux Reporting
New York, New York, United States · Hybrid
$70k–$85k/yr
Development Officer The Futuro Media Group (New York, NY – Hybrid or Remote) Futuro Media a Latina-led, independent nonprofit newsroom producing Pulitzer Prize-winning journalism and original, dual-language storytelling …
Skills: Fundraising, Donor cultivation, Stewardship, Proposal writing, Project management
New York, New York, United States · Hybrid
$155k–$165k/yr
Title: Model Risk Senior Analyst – Validation [Multiple positions available] Job Location: 277 Park Avenue, New York, NY 10172. Position requires in-office work four (4) days every week. Job Description: Conduct independ…
Skills: Model validation, SAS, SQL, Python, R
New York, New York, United States · On-site
$18/hr–$28/hr
Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improv…
Skills: Phlebotomy, Venipuncture, Capillary collection, Specimen processing, Patient flow management
New York, New York, United States · On-site
$80k–$92k/yr
About Wonder Everything’s on the menu at Wonder. Except compromise. Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive resta…
Skills: Operations Management, Team Leadership, Food Safety, KPI Management, Labor Deployment
New York, New York, United States · On-site
In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsor…
Skills: Global payments solutions, Cash management, Corporate sales, Relationship management, Healthcare sector expertise
New York, New York, United States · Hybrid
$90k–$105k/yr
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, t…
Skills: Analytical Thinking, Financial Analysis, Financial Forecasting, Profitability Analysis, Research Analysis
New York, New York, United States · Remote Solely
$120k–$140k/yr
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Forward Deployment Engineer Fractal Analytics is a strategic AI par…
Skills: Software engineering, Technical leadership, AI solution prototyping, Workflow automation, API integration
New York, New York, United States · Hybrid
$210k–$240k/yr
About the role Adonis is looking for a Head of People to lead and scale our People function across recruiting, people operations, employee experience, and strategic business partnership. This role will own how we attract…
Skills: People operations, Recruiting strategy, Employee experience, Performance management, Organizational design
New York, New York, United States · On-site
$200k–$240k/yr
About Sent Sent is a unified messaging API that intelligently routes messages across SMS, WhatsApp, iMessage, and more. Our Intelligent Routing Model detects channel availability and preference to maximize reach while cu…
Skills: Financial planning and analysis, Strategic finance, Accounting oversight, Capital planning, Financial modeling
New York, New York, United States · On-site
$75k–$85k/yr
Overview Essen Health Care is the largest privately held, multispecialty medical group in New York, providing high-quality, compassionate care to some of the state’s most vulnerable and underserved residents. Founded in …
Skills: Healthcare Operations Leadership, Strategic Planning, Financial Management, Ambulatory Practice Management, Physician Relations
New York, New York, United States · Hybrid
$160k–$200k/yr
We live in a world where technology is rapidly changing the educational experiences of students and teachers everywhere, and we have the opportunity to shape how this change takes place. Kira’s mission is to harness tran…
Skills: Product strategy, Prompt engineering, Prototyping, Customer success, Technical collaboration
New York, New York, United States · On-site
$200k–$240k/yr
About Blacksmith We started by building infrastructure to run CI workloads really fast. Our first product helps companies run GitHub Actions substantially faster and cheaper by owning and operating our own global fleet o…
Skills: Product management, Enterprise software, CI/CD, Cloud networking, Compute platforms
New York, New York, United States · On-site
$2/hr–$24/hr
At Elara Caring, we have a unique opportunity to play a huge role in the growth of an entire home care industry. Here, each employee has the chance to make a real difference by carrying out our mission every day. Join ou…
Skills: Staff scheduling, Care coordination, Compliance management, Team leadership, Performance coaching
New York, New York, United States · On-site
$25/hr–$25/hr
Job DetailsJob Location: PS 97 School Age Center - Brooklyn, NY 11223Position Type: Part TimeEducation Level: 4 Year DegreeSalary Range: $25.00 - $25.00 HourlyJob Shift: Day and occasional weekends and eveningsJob Catego…
Skills: Staff supervision, Child development, Lesson planning, Classroom management, Data entry
New York, New York, United States · On-site
$44/hr–$44/hr
Job DetailsJob Location: 610 Baltic Street - Brooklyn, NY 11217Position Type: Partial Year (10 Months)Salary Range: $44.32 - $44.32 HourlyUniversity Settlement partners with 40,000+ New Yorkers in Lower Manhattan and Bro…
Skills: Curriculum Development, Staff Supervision, Instructional Coaching, Professional Development, Educational Leadership
New York, New York, United States · Hybrid
$90k–$100k/yr
Agency: Omnicom Media Job Function: Media Job Subfunction: Performance Media Job Description: Business Overview KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agenc…
Skills: Paid search, Google Ads, Bing Ads, Marin, Kenshoo
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Lead the end-to-end data strategy to improve AI models for hardware design and EDA workflows through synthetic data generation and data mining. Manage the data flywheel, acquire relevant datasets, and build partnerships for customer data access while scaling the data team.
Requires a proven track record of building data flywheels and shipping synthetic data pipelines that result in measurable model improvements. Candidates must be able to independently evaluate data quality and synthesize feedback from domain experts and ML engineers.
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 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.
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
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
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 [email protected].
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.
AI for our most pressing crises in silicon.
At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the physical world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits. We understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms. Normal was founded in 2022 by engineers and scientists that pioneered industry-leading Physics + ML tools for next-gen AI at Google Brain and Google X.
Offices: New York, NY, US · San Francisco, California, US · London, England, GB · Copenhagen, DK
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