Six Figure Work

Member of Technical Staff — Backend/API Platform

RadixArk

Company websiteradixark.com (RadixArk, opens in new tab)

Base salary $200K  to $400K

Employer-published annual base salary, USD. Advertised base range in Palo Alto, CA +1 more

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  • LocationPalo Alto, CA +1 more
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since
All places named
  • Palo Alto, CA
  • San Francisco, CA

About this job

About the Role

RadixArk is looking for a Member of Technical Staff — Backend/API Platform Engineer to build the API layer, control plane, and platform services that power SGLang and Miles in production. You'll design and implement the REST/gRPC APIs, authentication systems, multi-tenancy isolation, and monitoring infrastructure that thousands of developers and companies rely on. This role bridges high-performance inference/training systems with production-grade platform engineering.

Requirements

  • 4+ years experience building production backend systems, APIs, or platform infrastructure

  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent industry experience

  • Strong proficiency in Python, Go, or Rust with production-quality code standards

  • Experience designing and building REST/gRPC APIs at scale

  • Solid understanding of distributed systems, databases, caching, and message queues

  • Experience with authentication, authorization, rate limiting, and multi-tenancy

  • Familiarity with cloud platforms (AWS, GCP, Azure) and Kubernetes

  • Experience with monitoring and observability tools (Prometheus, Grafana, DataDog)

  • Understanding of ML serving infrastructure or high-throughput systems is a plus

Responsibilities

  • Design and build production APIs for SGLang and Miles: REST/gRPC endpoints, client SDKs, API versioning

  • Implement authentication, authorization, and rate limiting systems for multi-tenant deployments

  • Build control plane infrastructure: job scheduling, resource allocation, model deployment management

  • Create monitoring, logging, and observability systems for production inference and training workloads

  • Design and implement billing integration, usage tracking, and quota management

  • Build management dashboards and admin tools for cluster operations

  • Ensure API reliability, performance, and security at scale

  • Implement multi-tenancy isolation and security boundaries

  • Create deployment automation, CI/CD pipelines, and rollback procedures

  • Write comprehensive API documentation and integration guides

  • Partner with Systems Engineers to optimize end-to-end latency from API → serving layer

  • Debug production issues and implement reliability improvements

About RadixArk

RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.

Compensation

Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.

Equal Opportunity

RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Source: RadixArk on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($200,000) is above 71% of the 4,308 Software Engineering roles in California listed on this site; 146 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $202,250.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live RadixArk roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live RadixArk roles with the nearest advertised base floor
RolePublished base
Member of Technical Staff — Backend/API Platform (this listing)$200K - $400K
Member of Technical Staff — Inference-TPU$200K - $400K
Member of Technical Staff — Inference-Kernel, Compiler & Communication$200K - $400K
Member of Technical Staff — Reliability-CI Infrastructure$200K - $400K
Member of Technical Staff — Inference-Multimodal & Diffusion$200K - $400K
Member of Technical Staff — Developer Technology$200K - $400K
Member of Technical Staff — Inference-Multi-Hardware$200K - $400K

Same $100K to $400K scale as every card. All RadixArk roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-21
Where this pay comes from

Location as the employer wrote it: Palo Alto • San Francisco

Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.