Tesla

Makes electric cars, robotaxis and grid batteries

NVH Digital Signal Processing Engineer - Active Road Noise Reduction

Electrical EngineeringConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Mechanical Engineering, Electrical Engineering, or Digital Signal Processing.
A deep understanding of digital signal processing and active noise cancellation theory.
Strong programming skills in MATLAB and C.
The ability to deliver analysis on difficult projects within tight timing constraints.
Strong communication skills and the ability to work independently and as part of a team.

Responsibilities

Develop, tune, and validate the existing Active Road Noise Reduction algorithm and internal digital signal processing tools.
Monitor fleet performance, consolidate user feedback into action items, and drive the Active Road Noise Reduction system to perfection.
Transform engineering insights into meaningful metrics and deploy detection algorithms into production.
Architect and prototype future Active Road Noise Reduction systems, from sensor placement to algorithm selection.

Desired Qualifications

Mastery of linear algebra, optimization, machine learning, or adaptive filters.
Proficiency in Python.
Familiarity with version control software such as Git.
Knowledge of acoustics and vibration principles.

Category	Engineering & Information Technology
Location	Palo Alto, California
Requisition ID	288283
Type	Full-time

Job Description

As a NVH DSP Engineer focusing on the Active Road Noise Reduction (ARNR) system with our Noise, Vibration, and Harshness team, you will play a critical role in the design and development of Tesla’s industry-leading products. You will analyze, optimize, and revolutionize ARNR designs. You will work with fellow NVH engineers and other engineering teams to solve the toughest challenges in the industry and deliver world-class performance.    Tesla is looking only for the best and most talented. Accelerate your career. Accelerate the world’s transition to sustainable energy and transport.

Job Responsibilities

Develop, tune, and validate the existing ARNR algorithm and internal DSP tools

Monitor fleet performance, consolidate user feedback into action items, and drive the Active Road Noise Reduction system to perfection

Transform engineering insights into meaningful metrics and deploy detection algorithms into production

Architect and prototype future Active Road Noise Reduction system- from sensor placement to algorithm selection

Job Requirements

Degree in Mechanical Engineering, Electrical Engineering, or Digital Signal Processing

Deep understanding of digital signal processing and active noise cancellation theory. Mastery of linear algebra, optimization, machine learning, or adaptive filter is desirable

Strong programming skill in Matlab and C. Proficiency in Python is a plus

Familiarity to version control software like git is a plus

Knowledge of acoustics and vibration principles is also a plus

Demonstrated ability to deliver analysis on difficult projects with tight timing constraints

Strong communication skills, independent worker, and excellent team player

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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