Benefits:

• Equity

Experience Requirements:

• Experienced in hiring great engineers

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Sourcing candidates

• Running hiring processes

Benefits:

• Equity

Experience Requirements:

• Experienced in scaling small teams

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Reporting to CEO

• Solving operational problems

• Running hiring processes

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Equity

Experience Requirements:

• Track record of making money

Other Requirements:

• Goal-oriented

• Comfortable learning on the job

Responsibilities:

• Running, optimizing, and improving revenue generation strategy

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 6+ years of experience in backend engineering

Other Requirements:

• Familiar with Kubernetes and Python

Responsibilities:

• Building scalable infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Education Requirements:

• Bachelor's degree

Experience Requirements:

• Experienced in flutter

• Adheres strictly to test-driven-development principles

Other Requirements:

• Familiar with Flutter and Python

Responsibilities:

• Implementing CHAI Web App

• Developing features for retention and monetization

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 3+ years of experience in building scalable ML infrastructure from the ground up

Other Requirements:

• Familiar with Kubernetes and Python

• Familiar with Apache Kafka and Spark

Responsibilities:

• Building scalable ML infrastructure

• Managing and growing engineering team

Benefits:

• Competitive compensation packages

• High-quality individual and family medical, dental, and vision insurance

• Health savings account with available employer match

• Employer-matched 401(k) retirement plan with immediate vesting

• Employer-paid group term life insurance and the option to elect voluntary life insurance

Education Requirements:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience

• Master's degree and 5+ years of relevant experience

• PhD and 2+ years of relevant experience

Experience Requirements:

• Experience with system engineering in an enterprise-level, highly integrated, complex IT environment

• High-Performance Computing (HPC) experience with Cisco UCS, etc

• Familiarity with NFS, Fiber Channel connected storage and networking concepts

Other Requirements:

• Excellent interpersonal skills; ability to work successfully with teams across the organization, including Engineering, Program Management, Operations, and Senior Leadership

• Experience configuring server automation and configuration management tools (ex. Ansible, Terraform)

• Experience with container technology (Docker, Kubernetes)

• Knowledgeable of DNS and IPAM (EIP)

• Identity management (Okta, OpenLDAP, AD)

• Experience with backup and recovery (Veeam)

• Knowledge of Linux/Unix systems design, development, maintenance techniques, and processes

• Experience with administration of, and workflow enhancement/building with, project tracking software (Atlassian Jira)

• Self directed - effective prioritization and time management

• Ability to work in a fast paced high output environment with changing priorities and multiple projects

• Experience with root cause analysis and error correction

• Excellent documentation skills required

• A willingness and ability to learn and internalize new technologies

Responsibilities:

• Support a rapidly expanding infrastructure

• Experience working on a team of strong technical people with responsibility for the operation of mission-critical systems and services

• Deliver complex projects, including coordinating and driving issues to resolution autonomously utilizing excellent technical troubleshooting skills

• Work cross-functionally with highly technical software, hardware, and network engineering teams, understand their goals, and deploy tools and visualizations to get the right data in the hands of teams to make decisions

Benefits:

• Competitive compensation packages

• High-quality individual and family medical, dental, and vision insurance

• Health savings account with available employer match

• Employer-matched 401(k) retirement plan with immediate vesting

• Employer-paid group term life insurance and the option to elect voluntary life insurance

Education Requirements:

• Bachelor's degree

• Master's degree

• PhD in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field

Experience Requirements:

• Strong experience developing embedded applications and systems using C++

• Strong software design, algorithm, problem-solving, and analytical skills

• Experience with multi-processor SoCs or similar embedded processors used in camera and vision processing

Other Requirements:

• Familiarity with Embedded OS such as FreeRTOS and Linux desired

• Prefer candidates with experience developing software for highly complex, safety-critical sensing systems

Responsibilities:

• Deliver safe and efficient embedded software for state-of-the-art vision-based sensing systems

• Produce high-quality, maintainable code using C++

• Create architecture and designs in alignment with ASPICE and Functional Safety standards

• Design, implement, and test full-stack software running in resource-constrained environments

• Work closely with a multidisciplinary team of hardware, software, and system engineers to ensure the success of our product

Benefits:

• Competitive compensation packages

• High-quality individual and family medical, dental, and vision insurance

• Health savings account with available employer match

• Employer-matched 401(k) retirement plan with immediate vesting

• Employer-paid group term life insurance and the option to elect voluntary life insurance

Education Requirements:

• Bachelor's degree in Engineering, Building Science, or related degree

• Associate's degree with two years of employment experience

• High School Diploma or GED equivalent with four years of employment experience

Experience Requirements:

• One to two years of building facilities experience

• Exceptional, demonstrated customer service skills

Other Requirements:

• Willingness to be available after hours and in emergency situations

• Computer proficiency with Microsoft Office and Google Suite

• Valid driver’s license and clean driving record

• Ability to lift up to 50lbs

Responsibilities:

• Support all REWS functions in Palo Alto; working onsite daily to provide direct support, conduct facility walkthroughs, schedule repairs and maintenance needs, move activities, and respond to all requests in a timely fashion

• Support catering and snack program, including coordinating orders for on-site meals

• Supports the office supplies and consumables program, including taking inventory, ordering supplies, replenishing and managing conference spaces

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs