Optimization Engineer @ JITX

INACTIVE

Full-Time

Optimization Engineer

Posted on 2/10/2023

JITX

11-50 employees

Circuit board design company

Data & Analytics

AI & Machine Learning

Junior, Mid

San Jose, CA, USA

Required Skills

Tensorflow

Data Structures & Algorithms

Requirements

Search, integer linear programming, SAT/SMT solvers, DPLL

Desired Qualifications

You will need to communicate clearly and be able to both share your own expertise and learn from others
You will need to formulate problems precisely and design efficient algorithms to solve them
You will work alongside a team of experienced software engineers to implement algorithms and strategically stage development to bring features to production on a predictable schedule
Experience with the techniques used by the following frameworks: Z3, Oz, COIN-OR, TensorFlow, CVX, CVXPY, Gurobi
Able to implement custom solvers tailored for a problem domain
Capable of both designing and implementing traditional exact solvers, and also learning-based approaches such as trained surrogates for optimization
Have experience with tackling open problems in optimization/constraint solving
Experience with discrete optimization, combinatorics/search problems, and their continuous relaxations
Experience with tackling practical problems using neural networks and deep learning
Education: PhD, MS, or BS in Computer Science, Physics, Mathematics, Operation Research, or comparable education or industrial experience

JITX is a way to design circuit boards faster, better, and with fewer errors. Instead of manually drafting and reviewing one-off designs, users write code to generate designs programmatically. Our AI-powered solvers handle the low-level details, and make hardware engineering work massively reusable. Our vision at JITX is to automate hardware design for the benefit of science and the welfare of humanity. Dedicated to solving difficult problems with huge impact, our first step is to automate circuit board design. This role is responsible for formulating, and implementing an algorithmic strategy for tackling JITX’s most challenging problems. You will work directly with a highly experienced software engineer and expert design advisors to attack open problems in design automation. You will invent, improve, and implement the world’s first fully automated design flow for electronics: a simultaneous placement, routing, pin-assignment, and component selection algorithm for printed circuit boards. You will not need electronics experience, but will need a creative mind, and revel in formulating and solving tough problems. You should be comfortable with the algorithmic building blocks: sorting, caching, canonical forms, dynamic programming, gradient descent, cost functions, backtracking, branch and bound, constraint satisfaction, A* search, integer linear programming, SAT/SMT solvers, DPLL.

Desired summary, but not all required:

You will need to communicate clearly and be able to both share your own expertise and learn from others.
You will need to formulate problems precisely and design efficient algorithms to solve them.
You will work alongside a team of experienced software engineers to implement algorithms and strategically stage development to bring features to production on a predictable schedule.
Experience with the techniques used by the following frameworks: Z3, Oz, COIN-OR, TensorFlow, CVX, CVXPY, Gurobi.
Able to implement custom solvers tailored for a problem domain.
Capable of both designing and implementing traditional exact solvers, and also learning-based approaches such as trained surrogates for optimization.
Have experience with tackling open problems in optimization/constraint solving.
Experience with discrete optimization, combinatorics/search problems, and their continuous relaxations.
Experience with tackling practical problems using neural networks and deep learning.
Education: PhD, MS, or BS in Computer Science, Physics, Mathematics, Operation Research, or comparable education or industrial experience.

Preference to local Bay Area candidates will be given. This candidate will be expected to be local (or relocated from another state within the USA).

IMMIGRATION

JITX is happy to transfer a H1B or comparable visa.

POST-COVID WORK PLAN

This role will need to be local within the California Bay Area. JITX will continue to be flexible in the Post- Covid Work Plan in our Downtown San Jose or Berkeley office (or combination of both) on a hybrid or full time basis.

In order to provide our employees with a safe working environment, our company is requiring that all employees be fully vaccinated and safely outside of the 2-week post vaccination window before working onsite, unless they have been approved medical or religious exemption. If hired, you will be required to self certify and likely show proof of vaccination (or exemption) upon the start of your employment with us.

JITX

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Website

View Company Profile

JITX is on a mission to automate hardware design for the benefit of science and the welfare of humanity. Instead of manually drafting and reviewing one-off designs, JITX's AI-powered solvers handle the low-level details, and makes engineering work massively reusable.

Company Stage

Series A

Total Funding

$12.8M

Headquarters

San Jose, California

Founded

2017

Growth & Insights

Headcount

6 month growth

↓ -8%

1 year growth

↑ 15%

2 year growth

↑ 29%

Benefits

Health - Kaiser HMO and Blue Shield PPO

Dental

Vision

Life

401k

FSA - Medical, Dependent Care, Transit, and Parking

3 - weeks PTO + sick time

INACTIVE