Hippocratic AI Logo

Hippocratic AI

Performance Engineer

Posted 25 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
Senior level
In-Office
Palo Alto, CA, USA
Senior level
As a Performance Engineer, you will build automated performance testing frameworks, characterize VoIP performance, and collaborate with cross-functional teams to improve system efficiency and reliability.
The summary above was generated by AI
About Us

Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.

Why Join Our Team

Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.

Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.

Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.

About the Role

We're hiring a Performance Engineer to own performance across our entire stack. You'll build the automated harnesses that keep us honest, continuously measuring every model, microservice, and infrastructure component, and be our expert voice on VoIP quality characterization. This is a high-impact, highly technical role that cuts across ML infrastructure, backend services, and real-time communications.

What You'll Do

Build Automated Performance Harnesses

  • Design and maintain automated performance testing frameworks covering the full system: LLM inference, REST/gRPC microservices, and infrastructure components including PostgreSQL, Redis, message queues, and object storage

  • Integrate performance suites into CI/CD so every deploy is gated against latency and throughput regressions

  • Define SLIs/SLOs and build dashboards (e.g., Grafana) that give engineering teams real-time visibility into system health

Characterize VoIP Performance

  • Measure and track VoIP quality metrics: MOS scores, jitter, packet loss, latency, echo, and codec fidelity

  • Build synthetic call load testing infrastructure to stress telephony paths at scale

  • Correlate audio degradation signals with underlying infrastructure metrics to root-cause issues

Drive a Performance Culture

  • Partner with ML, Speech, Backend, and Infra teams to turn performance findings into prioritized engineering work

  • Contribute to incident reviews where latency or audio quality was a factor

  • Write runbooks, share learnings, and help other engineers instrument their own services

What You Bring

Must-Have:

  • 10+ years in performance engineering with a solid software development and SRE background

  • Proven track record building automated performance test harnesses (Locust, k6, Gatling, JMeter, or custom tooling)

  • Deep hands-on experience with PostgreSQL performance tuning (execution plans, indexing strategies, connection pooling, autovacuum) and Redis (eviction policies, clustering, pipelining)

  • Solid grasp of distributed systems fundamentals: queueing theory, tail latency, backpressure, cascading failures

  • Fluency with observability tools: Prometheus, Grafana, Cloudwatch, etc.

VoIP / Telephony

  • Working knowledge of SIP, RTP/RTCP, and RTCP-XR

  • Hands-on experience with VoIP testing tools (SIPp or equivalent) and interpreting call quality reports

  • Ability to diagnose audio degradation across network, codec, and application layers

  • Familiarity with MOS scoring methodologies (PESQ, POLQA, or E-model)

Nice-to-Have:

  • Experience benchmarking ML inference servers: vLLM, TensorRT-LLM, Triton, or similar

  • Kubernetes workload profiling and resource right-sizing

  • Chaos engineering experience: Toxiproxy, Gremlin, or Chaos Monkey

  • Background in healthcare tech, real-time communications, or other high-reliability, latency-sensitive systems

Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact.

Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.

HQ

Hippocratic AI Palo Alto, California, USA Office

167 Hamilton Ave, 3rd Floor, Palo Alto, California, United States, 94301

Similar Jobs

3 Days Ago
In-Office
Sunnyvale, CA, USA
Entry level
Entry level
Cloud • Information Technology • Machine Learning
The role involves developing and optimizing performance benchmarks for cloud infrastructure to enhance AI applications.
Top Skills: AICloud InfrastructurePerformance Benchmarking
8 Days Ago
Easy Apply
In-Office
Easy Apply
175K-241K Annually
Senior level
175K-241K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
Design and validate high-speed compute hardware for AI/ML applications, oversee entire process from design to debugging, and collaborate with software engineers.
Top Skills: Embedded SystemsEthernet ConnectionsGpuHigh-Speed Digital Pcb DesignHigh-Speed Memory InterfacesPcie Gen 4/5Power Delivery Network
9 Days Ago
Remote or Hybrid
2 Locations
129K-261K Annually
Senior level
129K-261K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior System Performance Engineer will enhance software performance for GM's Autonomous Vehicles, collaborating on tool development, optimizing software, and mentoring engineers.
Top Skills: Ai/Ml ApplicationsC++DspsGpuPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account