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Software Engineer

Remote: 
Full Remote
Contract: 

Offer summary

Qualifications:

Bachelor's degree or higher in Computer Science, Engineering, or a related field., 4+ years of prior engineering technical leadership experience., Strong software engineering skills in building complex, distributed systems around AI technologies., Experience in enterprise software and/or industrials, particularly in advanced manufacturing or semiconductors..

Key responsabilities:

  • Drive projects from concept to production deployment focusing on product UX, AI libraries, or full-stack AI infrastructure.
  • Interface directly with Fortune 500 customers and users across the semiconductor industry.
  • Contribute to comprehensive engineering roadmaps that align with company goals and product strategy.
  • Operate in a metrics and measurement-led culture to continually measure quality and robustness of solutions.

Normal Computing logo
Normal Computing Information Technology & Services Scaleup https://normalcomputing.ai/
11 - 50 Employees
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Job description

Your Role in Our Mission: 

At Normal Computing, you will be responsible for operating with high agency on our team of Software Engineers in the fast-paced acceleration of our first commercial product, Adam. Normal is a spinoff out of Google X, backed by Eric Schmidt, building AI products, and training foundational AI systems, to design drastically better chips.

We are hiring senior and staff generalist individual contributors with specializations across product UX, AI libraries and backend systems, and/or AI infrastructure.

You will join a community of software engineers, chip designers, mathematicians, physicists, and other polymaths who are working to innovate critical aspects of hardware engineering.

A semiconductor background is not required. Accelerated individual development is expected. Successful candidates have a strong entrepreneurial instinct -- and capacity for driving mission-critical impact on demanding timelines, through full cycle engineering.

There is no single background that fits this role. We look for resumes that show a history of drive, clarity of mind, and engineering impact, and we believe strongly that these traits could come from anywhere. Among other things, the role will involve: 

  • Drive projects from concept to production deployment typically focusing within product UX, AI libraries, systems, or full-stack AI infrastructure

  • Interfacing directly with Fortune 500 customers and users across the semiconductor industry, and industrials more broadly

  • Spearhead 0-1 projects from feature prototyping to deployment, advancing state-of-the-art auto-formalizing AI systems for complex design and simulation problems in hardware engineering

  • Drive alongside world-class software engineers (frontend, backend, and infrastructure) from Google Brain, Meta, Amazon AGI, and other top-tier AI groups and enterprise startups

  • Contribute to comprehensive engineering roadmaps that align with company goals and product strategy

  • Contribute to or interface with tooling and infrastructure projects to improve model training, experimentation, and enterprise product deployment infrastructure

  • Operate in a metrics and measurement-led culture designing and challenging benchmarks to continually measure quality and robustness of solutions

  • Travel to summits with our semiconductor partners

  • Go the extra mile to assure success for our partners and your team

  • Uphold a collaborative, growth-oriented environment that promotes kindness, empathy, transparency and eagerness

  • Stay up-to-date with the latest advancements in Artificial Intelligence, Electronic Design Automation, and distributed software infrastructure

What Makes You A Great Fit: 

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field  

  • 4+ years of prior engineering technical leadership experience.

  • Experience in enterprise software and/or industrials (advanced manufacturing, semiconductors)

  • Strong software engineering skills, especially in building complex, distributed systems around AI technologies and multimodal data

  • Strong understanding of AI product evaluation metrics

  • Experience instantiating and scaling deep tech products at high-growth startups operating in high-stakes or regulated environments

Bonus Points For 

  • Meaningful experience working and building within or for the semiconductor industry, and developing hardware products or software for hardware products

  • Deep curiosity for or experience in semiconductors and physics

  • Former zero-to-one engineering lead or startup founder with demonstrated track record of building customer-facing AI products through entire lifecycle from inception to business success

  • World-class communication, collaboration, and stakeholder management abilities.

  • Advanced degree in Electrical Engineering, Semiconductors, Computer Science, Statistics or similar field, or Master of Science or Business Administration degrees

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 accomodations@normalcomputing.ai.

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.

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Teamwork
  • Adaptability
  • Problem Solving

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