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Staff Performance Coordinator Jobs (NOW HIRING)

Pacs

Staff Development Coordinator

Post, TX · On-site

$45/hr

Staff Development Coordinator (LPN Required) Karcher Post Acute Karcher Post Acute is seeking a ... Collaborate with leadership to identify training needs and improve staff performance * Assist with ...

Pacs

Staff Development Coordinator

Post, TX

$45/hr

Staff Development Coordinator (LPN Required) Karcher Post Acute Karcher Post Acute is seeking a ... Collaborate with leadership to identify training needs and improve staff performance * Assist with ...

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How much do staff performance coordinator jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for staff performance coordinator in the United States is $30.99, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $38.94 per hour, depending on experience, location, and employer.

What is the difference between Staff Performance Coordinator vs Staff Training Specialist?

AspectStaff Performance CoordinatorStaff Training Specialist
CredentialsTypically requires a bachelor's degree in HR, Business, or related field; certifications like SHRM-CP are commonUsually holds a bachelor's degree in Education, HR, or related; certifications like ATD or CPTD are beneficial
Work EnvironmentWorks within HR or organizational development teams, focusing on performance metrics and evaluationsWorks in training departments or learning & development teams, focusing on skill development and training programs
Employer & Industry UsageUsed across various industries including corporate, healthcare, and education for performance managementCommon in corporate, healthcare, and educational sectors for employee development and training

The Staff Performance Coordinator primarily manages employee performance evaluations and improvement strategies, while the Staff Training Specialist focuses on designing and delivering training programs to enhance staff skills. Both roles support organizational growth but differ in their core functions and focus areas.

What does a staff performance coordinator do?

A staff performance coordinator is responsible for monitoring, evaluating, and improving employee performance within an organization. They develop performance metrics, conduct reviews, and implement strategies to enhance productivity and engagement, often using data analysis and performance management tools. This role requires strong communication skills and knowledge of HR policies and performance appraisal processes.

What cities are hiring for Staff Performance Coordinator jobs?

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What are the most commonly searched types of Staff Performance jobs?

The most popular types of Staff Performance jobs are:

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Staff Performance Coordinator jobs near you

Member of Technical Staff - Performance

RadixArk

Palo Alto, CA • On-site

$200K - $400K/yr

Full-time

Re-posted 6 days ago

Job description

About the Role
RadixArk is hiring a Member of Technical Staff - Performance in Palo Alto, CA - someone who can push LLM inference and training systems to the limit across real production workloads.
You'll work on the performance-critical path of SGLang, Miles, and the RadixArk infrastructure stack: latency, throughput, GPU utilization, memory efficiency, scheduling, batching, kernel behavior, distributed execution, and cost-per-token. This is not a generic benchmarking role. You'll be working on the systems that determine whether frontier-scale AI workloads are actually usable, affordable, and reliable in production.
Our customers care about real numbers: P99 latency, TTFT, tokens/sec/GPU, throughput under long-context workloads, cost-per-million tokens, RL rollout efficiency, and training-inference consistency. You'll help us measure, debug, and improve these systems across NVIDIA, AMD, Google TPU, and cloud partner environments.
This role is for someone who loves performance debugging, understands that small systems details can create massive product impact, and wants to work at the frontier of AI infrastructure.
What You'll Do
  • Analyze and improve performance across SGLang, Miles, and RadixArk production deployments
  • Benchmark LLM inference and training workloads across GPUs, TPUs, and cloud environments
  • Optimize latency, throughput, memory usage, batching, scheduling, routing, and GPU utilization
  • Investigate performance regressions in real customer environments
  • Work closely with kernel, runtime, distributed systems, and product engineers
  • Build internal tooling for profiling, tracing, benchmarking, and regression detection
  • Translate customer workload characteristics into concrete performance tuning strategies
  • Help define performance metrics that matter commercially, including cost-per-token and serving efficiency
  • Partner with customers and cloud partners on deep technical evaluations
  • Contribute performance insights back to open-source SGLang and Miles
What We're Looking For
  • Strong systems engineering background, especially in performance-critical software
  • Experience with GPU systems, distributed systems, inference serving, ML runtimes, or high-performance computing
  • Familiarity with profiling tools, performance debugging, tracing, and benchmark methodology
  • Comfort working with Python and C++
  • Experience with CUDA, Triton, Pallas, ROCm, XLA, or kernel-level optimization is a strong plus
  • Understanding of LLM inference concepts such as batching, KV cache, prefill/decode, speculative decoding, MoE, long context, and P99 latency
  • Ability to debug messy real-world performance issues across software, hardware, and infrastructure layers
  • Strong communication skills - you should be able to explain performance tradeoffs to both engineers and customers
  • Prior experience with production AI infrastructure, cloud GPU environments, or open-source ML systems is a plus

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.

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