AI Jobs

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science, IT, Electrical Engineering, or a related field, or equivalent hands-on experience

Experience Requirements:

• 2+ years of experience in a data center environment

Responsibilities:

• Oversee day-to-day operations of our GPU cluster

• Assist with the deployment, configuration, and calibration of GPU servers

• Implement and support hardware upgrades

• Continuously monitor system performance

• Quickly diagnose and resolve hardware and network issues, coordinating with team members to minimize disruptions

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science, or a related field

Responsibilities:

• Design and implement robust software deployment processes for delivering high-quality platforms to enterprise customers

• Maintain and enhance internal ML infrastructure

• Diagnose and resolve issues related to deploying Lamini Platform in customer on-prem environments

• Collaborate with data center vendors to manage GPU servers

• Partner with cross-functional teams to ensure reliability and scalability are embedded in the design of new features and services

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science or comparable fields

Experience Requirements:

• 4+ years of professional software engineering experience

Responsibilities:

• Design and implement core LLMs tuning and inference on Kubernetes

• Deep understanding of complex distributed systems

• Build complex system features to solve customer problems

• Collaborate with ML & app engineers and product managers on platform features

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• BSc in Computer Science, Mathematics or similar field; Master’s or Ph.D. degree is a plus

Experience Requirements:

• 5+ years of professional experience designing, training, and deploying machine learning models

Responsibilities:

• Design and train new production-ready machine learning models

• Collect, process and analyze data

• Analyze and improve existing models

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:

• 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:

• 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:

• Company-provided truck, tools, and uniform

• Comprehensive industry training

• Competitive salary package

• Ongoing support and development opportunities

Experience Requirements:

• 1st, 2nd and 3rd year plumbing apprentices

Other Requirements:

• Diligent, honest, and positive demeanor

• Punctuality and reliability

• Ability to collaborate effectively within a team while also demonstrating autonomy

• Flexibility to work on a rotational after-hours schedule

• Proficient driving skills

Responsibilities:

• Assisting with a wide variety of maintenance plumbing in water, gas, sanitary, drainage and roofing together with renovation and repair work

• Servicing domestic and commercial sites, rentals and body corporates

Education Requirements:

• University or research institute student

Experience Requirements:

• Basic knowledge of computer programming in Python language

• Minimum understanding of machine learning

• Illustrative GitHub account

Benefits:

• Reasonable expenses may be reimbursed

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