xAI
Software Engineer - Networking Software and Services
Job Summary
This role involves building advanced network management software and tools to support large GPU supercomputing networks used in AI training and inference. The candidate will collaborate with network engineers and develop scalable, reliable, and automation-driven solutions, focusing on metrics, deployment pipelines, and network orchestration. Strong experience with network protocols and programming languages like Python and Go is preferred. The position offers opportunities for travel and involves contributing directly to the company's mission of accelerating scientific discovery through AI.
Required Skills
Benefits
Job Description
About xAI
xAI’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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Role
As part of the Network Software and Services for AI (nssAI) team at xAI, you'll build cutting-edge software, services, and frameworks to empower our Network Development Engineers. Working hands-on, you’ll tackle all facets of network management—metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation—driving automation-first solutions for xAI’s production and ancillary networks. Expect to develop extensible tools, streamline complex processes, and ensure rock-solid reliability to support xAI’s mission of accelerating human scientific discovery through AI.
Location
The role is based in the offices of Palo Alto - California, Memphis - Tennessee or Remote. There will be travel expected to Palo Alto for inter team collaboration and the data center for hands-on experience using the software you write and identifying other opportunities of improvement.
Focus
- Building software and tools with extensive metrics coverage for some of the world’s largest GPU supercomputing network fabrics used for AI training and serving customer inference queries.
- Implement IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across our production environments.
Preferred Skills and Experience
- Deep experience collaborating with network engineers daily using extensive knowledge of network topologies, physical and logical, and network protocols.
- Expert knowledge and proven history with designing scalable and reliable software from the ground up that can build and orchestrate tens of thousands of network devices at lightning speeds.
- Ability to thrive in ambiguity, creating metrics that will help prioritize the focus of the team and your own.
Tech Stack
- Python
- Go
- TCP/IP
- BGP
- RDMA
Annual Salary Range
$180,000 - $440,000 USD
Benefits
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.
xAI is an equal opportunity employer.
xAI
A company developing artificial intelligence to accelerate human scientific discovery and advance our understanding of the universe.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.