Overview
Remote
On Site
USD 120,000.00 per year
Full Time
Skills
Data Collection
Workflow
Software Engineering
Batch Processing
Evaluation
Scalability
Python
Management
Computer Hardware
Machine Learning (ML)
Operating Systems
Computer Networking
File Systems
Virtualization
Concurrent Computing
C++
Golang
Linux
Kubernetes
Ansible
PostgreSQL
Redis
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance
Job Details
As a member of the Foundation Inference Infrastructure team, you will design and implement a diverse set of backend services and tools that power autonomy software and processes. The systems you build will have a large impact on autonomy, from fleet data collection & processing of Machine Learning workflows to evaluation and validation of the software stack.
As an Software Engineer on the Inference Infrastructure team, you bring top-notch software engineering skills and can contribute to our systems immediately. A strong candidate will be an excellent software generalist with passion towards building and optimizing backend pipelines for ML inference workloads.
Responsibilities
Requirements
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
As an Software Engineer on the Inference Infrastructure team, you bring top-notch software engineering skills and can contribute to our systems immediately. A strong candidate will be an excellent software generalist with passion towards building and optimizing backend pipelines for ML inference workloads.
Responsibilities
- Design and implement backend services and tooling that handles iteration and batch processing of inference, simulation, and evaluation workloads
- Work closely with the other Autonomy teams to build foundational components as well as bridge missing pieces in ML compiler and runtime infrastructure while designing for scalability, reliability, security and high performance
Requirements
- Proficiency with Python
- Familiarity of managing hardware inference chips like TPUs and of optimizing machine learning inference workloads for low latency and scale
- Familiarity with Operating Systems concepts such as networking, processes, file systems and virtualization
- Familiarity with concurrency programming
- Familiarity with C++ and / or Golang
- Experience with Linux, container orchestrator like Kubernetes or similar and bare metal setup tools like Ansible or similar
- Experience with data stores like PostgreSQL and Redis
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
- Expected Compensation
$120,000 - $318,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.