Software Engineer

Data and Simulation

Posted on 8/31/2023

11-50 employees

Website

Electric automobile motor company

Locations

San Carlos, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Science

Data Structures & Algorithms

Development Operations (DevOps)

Jupyter

NumPy

Pandas

SQL

Python

CategoriesNew

AI & Machine Learning

Software Engineering

Requirements

You find large challenges exciting and enjoy discovering and defining problems as much as solving them
You deliver. You may enjoy thoughtful conversations about problems and perfecting design, but in the end you know that what matters is delivering innovative, effective, and reliable solutions
You are a cross disciplinary team member. You are excited to work with, learn from, and contribute to technology teams ranging from electromagnetics, power electronics, controls systems, mechanical, materials, software, computational physics, and beyond
Strong MLOps and DevOps skills
Solid understanding of statistics, probability, and machine learning, and optimization concepts
Strong experience with Python and data manipulation tools including SQL, Pandas, Numpy, Scipy, Matplotlib, Scikit-learn, Jupyter Notebooks, etc
Strong verbal and written communication skills
Familiarity with big data and scientific computing frameworks
Familiar with software engineering best practices including API design, version control, CI/CD, etc
Ability to thrive in a fast-moving and constantly evolving high growth environment

Responsibilities

Utilize large-scale data and help Tau engineers design and validate the most compelling and reliable products for our customers
Collect real-time life data from test and simulation systems including retrieving, analyzing and summarizing results to cross-functional teams
Provide support through the whole design cycle by building software and statistical tools that orchestrate all the reliability physics analyses
Answer complex questions on design parameters and behavior
Build scalable data pipelines to deploy fleet health monitoring models
Apply modern statistical frameworks to support the engineering team
Work closely with cross-functional teams to create/interpret/validate numeric models of products and systems
Build visualizations to effectively communicate results
Advance Tau's multiphysics simulation infrastructure including scientific computing pipelines, computational cluster, data storage and retrieval, etc

Desired Qualifications

Ideal candidates with have a background in physics and engineering
Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Mathematics, Physics or a related field
Experience training and maintaining models for real world applications
Strong knowledge of data structures and architectures
Experience with scalable machine learning and time-series modeling
Ability to code robust-apps (potentially interfacing with data streams, etc)
Comfortable in an environment with unstructured, incomplete, and ambiguous data
Curious, open-minded, and driven to solve complex problems

Tau is a venture-backed advanced technology company based in the Bay Area (Redwood City, CA). We design and develop next-generation products for electrification. The company was started because we believe the key to a more sustainable future requires modern power conversion systems to increase the security of the world’s energy. We have pioneered technologies that leverage software-enabled hardware to provide industry leading scale, economics, and efficiencies. Our systems include innovations across electric machines, inverters, controllers, thermal management, simulation, and charging systems.

Tau’s team of engineers, scientists, technologists, operators, and industry leaders continue to advance our internal technology roadmap while collaborating with commercial partners to deploy our existing products to market in the relentless pursuit of creating efficient power conversion systems for a more sustainable future.

At our core, Tau is made of exceptionally talented and mission-aligned people. Developing complex electromechanical systems is an interdisciplinary challenge. We are looking to expand our team with diverse engineering, scientific, and operational expertise.

Tau is an equal opportunity employer that guarantees a work environment that respects and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

About you

We are looking for people who aren’t afraid to take on new challenges, and are as passionate about energy and electrification as we are:

You find large challenges exciting and enjoy discovering and defining problems as much as solving them.
You deliver. You may enjoy thoughtful conversations about problems and perfecting design, but in the end you know that what matters is delivering innovative, effective, and reliable solutions.
You are a cross disciplinary team member. You are excited to work with, learn from, and contribute to technology teams ranging from electromagnetics, power electronics, controls systems, mechanical, materials, software, computational physics, and beyond.

Prior experience in a relevant engineering field is valued, but the team has openings from early career to expert - candidates of all levels are encouraged to apply.

Job Description

We are looking for a Software Engineer - Data and Simulation to join our growing team to both advance our internal technology roadmap and translate our innovative products to market with our commercial partners.

As a member of the controls team, you will model, design, implement, test and benchmark the motor controls of current and future Tau motor drives - including both high and low voltage applications.

What You’ll Do

Utilize large-scale data and help Tau engineers design and validate the most compelling and reliable products for our customers
Collect real-time life data from test and simulation systems including retrieving, analyzing and summarizing results to cross-functional teams
Provide support through the whole design cycle by building software and statistical tools that orchestrate all the reliability physics analyses
Answer complex questions on design parameters and behavior
Build scalable data pipelines to deploy fleet health monitoring models
Apply modern statistical frameworks to support the engineering team
Work closely with cross-functional teams to create/interpret/validate numeric models of products and systems
Build visualizations to effectively communicate results
Advance Tau’s multiphysics simulation infrastructure including scientific computing pipelines, computational cluster, data storage and retrieval, etc

What You’ll Bring

Strong MLOps and DevOps skills
Solid understanding of statistics, probability, and machine learning, and optimization concepts
Strong experience with Python and data manipulation tools including SQL, Pandas, Numpy, Scipy, Matplotlib, Scikit-learn, Jupyter Notebooks, etc
Strong verbal and written communication skills
Familiarity with big data and scientific computing frameworks
Familiar with software engineering best practices including API design, version control, CI/CD, etc
Ability to thrive in a fast-moving and constantly evolving high growth environment

Desired Skills

(Bonus) Ideal candidates with have a background in physics and engineering
Bachelor’s degree in Data Science, Computer Science, Industrial Engineering, Mathematics, Physics or a related field
Experience training and maintaining models for real world applications
Strong knowledge of data structures and architectures
Experience with scalable machine learning and time-series modeling
Ability to code robust-apps (potentially interfacing with data streams, etc)
Comfortable in an environment with unstructured, incomplete, and ambiguous data
Curious, open-minded, and driven to solve complex problems

The level will depend on the candidate’s experience. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.

Perks

Become part of an emerging company during a rapid growth phase—within an industry undergoing dramatic transformation for a global imperative.
Work with some of the smartest and most talented experts from different fields to: (1) attack some of the most pressing issues of today while (2) contributing to technically demanding and deeply innovative solutions.
Growth potential—we advance team members who have an outsized impact.
Competitive compensation based upon experience level, including stock options—we believe in capturing value in the future we create together.
Flexible time off and paid holidays.
Centrally located in the Bay Area on the Peninsula in vibrant downtown Redwood City
- Blocks from the Caltrain
- Walking distance to food and entertainment
- Easy access to both the 101 and 280
Excellent medical, dental, vision, and life insurance for full time team members.
Comprehensive benefits including HSA and FSA benefits, commuter benefits, ancillary benefits including OneMedical membership, a variety of telehealth services, and more.