SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organi…
Skills: Python, C++, Rust, GPU infrastructure, Distributed systems
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organi…
Skills: Data management, Project management, Evaluation strategies, Data integrity, Large language models
Instrumental Inc.
Principal Solutions Architect
Palo Alto, California, United States · On-site
$210k–$300k/yr
Senior+$80M raised
Most senior mechanical engineers we talk to have hit the same wall: you've spent a decade getting great at one product category, and now every new project feels like a smaller version of the last one. You're ready for ha…
Skills: Mechanical Design, Manufacturing Engineering, Product Design, Automation, Test Equipment
PsiQuantum's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and depl…
Skills: Hardware systems engineering, System architecture, Datacenter hardware, Rack design, Thermal management
About Eudia: Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $1…
Skills: Machine Learning, Deep Learning, LLMs, Retrieval-Augmented Generation, NLP
Senior Software Engineer - Full Stack Compensation: $200K - $250K • 0.10% - 0.40% equity Location: Palo Alto, CA, US Job type: Full-time Role: Engineering, Full stack Experience: 3+ years Visa: US citizen/visa only Skill…
Skills: Amazon Web Services, React, TypeScript, LLMs, LangChain
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their globa…
Skills: SQL, Excel, Data Analysis, Statistical Methodologies, Campaign Measurement
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better wor…
Skills: Physical AI, Robotics, Digital twins, Autonomous systems, Executive communication
About Mind: Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with t…
Data Engineering Intern - AI & Analytics (January - August 2027)
Palo Alto, California, United States · Hybrid
$40/hr–$51/hr
Entry level$30M raised
About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity s…
Skills: Python, SQL, Data engineering, Data pipelines, Machine learning
Are you interested in working with the core Amazon Advertising teams and collaborating with ad tech partners to spearhead innovation and deliver Identity solutions for our customers? Do you want to have direct and immedi…
About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity s…
About the team and the role Mind Robotics is building intelligent robotic systems. Our work happens on-site across active hardware labs, test floors, and compute environments where hardware and software iterate together …
Skills: IT Operations, Systems Administration, AI Agents, LLM Workflows, Linux
The Mission GRAM is a self replication company creating populations of insectoids for the physical economy. Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will …
Skills: Robotics, C++, Python, Linux, Embedded Systems
The Mission GRAM is a self replication company creating populations of insectoids for the physical economy. Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will …
Skills: Power Electronics, Circuit Design, PCB Layout, Motor Drives, Switching Converters
The Mission GRAM is a self replication company creating populations of insectoids for the physical economy. Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will …
The Mission GRAM is a self replication company creating populations of insectoids for the physical economy. Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will …
The Mission GRAM is a self replication company creating populations of insectoids for the physical economy. Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will …
Senior Software Engineer, Robot Data Infrastructure
Palo Alto, California, United States · On-site
$190k–$240k/yr
Senior
The Mission GRAM is a self replication company creating populations of insectoids for the physical economy. Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will …
The Mission GRAM is a self replication company creating populations of insectoids for the physical economy. Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will …
Skills: Robotics, C++, Python, Manipulation, Task and motion planning
You will design, build, and scale GPU compute infrastructure and training frameworks to support machine learning hypotheses. Additionally, you will collaborate with ML teams to productionize models and ensure the reliability and efficiency of large-scale data pipelines.
Requirements
Candidates must hold a degree in a quantitative discipline and possess at least 2 years of industry experience in high-traffic production environments. Proficiency in Python and experience with compiled languages like C++ or Rust are required.
Full job description
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.
RESPONSIBILITIES:
Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
Developing data pipelines and integrating large-scale data, training, and inference systems
Collaborating with ML teams to productionize models and ensure seamless integration across the stack
Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
Working across the full stack to solve complex problems independently
Mentoring junior engineers and contributing to the growth of the team
BASIC QUALIFICATIONS:
Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience
2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
Strong proficiency with Python and experience with compiled languages such as C++ or Rust
PREFERRED SKILLS AND EXPERIENCE:
Deep familiarity with modern ML frameworks such as JAX or PyTorch
Low-level understanding of compute systems, including distributed storage, NVIDIA drivers, CUDA toolkits, and networking
Comfortable with Linux systems and orchestration tools
Experience with job schedulers (e.g., Slurm), configuration management (Puppet/Ansible), or related infrastructure tooling
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Related keywords
ML InfrastructureGPU ComputeTraining FrameworksData PipelinesDistributed SystemsPythonC++RustJAXPyTorchLinuxCUDANetworkingSlurmAnsiblePuppet
SpaceXAIA deploys and orchestrates AI agents across space-scale systems.
We build agentic systems that plan, coordinate, and execute across orbital and terrestrial infrastructure. Our work focuses on autonomous operations, systems orchestration, and human-in-the-loop governance for mission-critical environments spanning space and Earth.
Offices: Chicago, US
Agentic AI SystemsAutonomous Systems OrchestrationAerospace Systems EngineeringSpace-Scale InfrastructureHuman-in-the-Loop AIAI Governance & ControlMission-Critical SystemsOrbital & Terrestrial OperationsDistributed AI AgentsOperational AI Deployment
How much do Engineering jobs in Palo Alto, CA pay?
Based on 734 listings with disclosed salaries, most engineering jobs in Palo Alto, CA pay between $100k–$261k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Palo Alto, CA right now?
There are currently 915 open engineering positions in Palo Alto, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Palo Alto, CA?
Companies currently hiring include Rivian, Ford Motor Company, SpaceX, Rivian and Volkswagen Group Technologies, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Palo Alto, CA?
Yes — 384 of the 915 open engineering positions offer remote or hybrid work (54 remote, 330 hybrid).
How do I apply for Engineering jobs in Palo Alto, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.