ZipRecruiter

Log In

1

Weekend Performance Engineer Jobs in New York (NOW HIRING)

Rowspace

Applied AI Engineer

Manhattan, NY · On-site

As an Applied AI Engineer, you will be responsible for implementing AI research to enhance the ... performance across investment research, due diligence, and portfolio monitoring tasks • Design ...

Hyperproof

AI / Machine Learning Engineer

Woodbridge, NJ · On-site

$100 - $130/hr

Monitor, evaluate, and continuously improve model accuracy and performance. * Collaborate with ... engineering teams to align AI capabilities with business goals. * Bachelor's or Master's degree in ...

Cornerstone Defense LLC

SETA AI Engineer

Manhattan, NY · On-site

$220 - $250/hr

Support test and evaluation activities including performance analysis, qualitative assessments, workflow validation, and guardrail reviews. * Advise on AI engineering considerations such as latency ...

New

Socket.dev

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $210/hr

Machine Learning Engineer @ Clay Clays ambition is to build a self-learning revenue engine : a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of ...

NOUS RESEARCH

Machine Learning Engineer, Evals

New York, NY · On-site

$153K/yr

Run the full eval pipeline end to end and reproduce known results during onboarding, pairing with a senior engineer on your first task * Build a judge calibration protocol: sample human-labeled ...

previous page

Showing results 41-60

All JobsPerformance Engineer JobsWeekend Performance Engineer JobsWeekend Performance Engineer Jobs in New York

Weekend Performance Engineer information

What is the difference between Weekend Performance Engineer vs Weekend Network Engineer?

AspectWeekend Performance EngineerWeekend Network Engineer
Primary FocusSystem performance, application optimization, and server efficiencyNetwork infrastructure, connectivity, and network security
Required SkillsPerformance testing, troubleshooting, server managementNetwork protocols, hardware setup, troubleshooting network issues
CertificationsPerformance-related certifications (e.g., AWS, Linux)Network certifications (e.g., Cisco CCNA, CompTIA Network+)
Work EnvironmentData centers, cloud environments, IT departmentsNetwork operation centers, enterprise IT settings

The Weekend Performance Engineer and Weekend Network Engineer roles share similarities in working during weekends and requiring technical certifications. However, the Performance Engineer focuses on optimizing system and application performance, while the Network Engineer specializes in maintaining and troubleshooting network infrastructure. Both roles are essential in IT operations but serve different technical domains.

What are the most commonly searched types of Performance Engineer jobs in New York?

The most popular types of Performance Engineer jobs in New York are:

What are popular job titles related to Weekend Performance Engineer jobs in New York?

For Weekend Performance Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Weekend Performance Engineer jobs in New York look for?

The top searched job categories for Weekend Performance Engineer jobs in New York are:

What cities in New York are hiring for Weekend Performance Engineer jobs?

Cities in New York with the most Weekend Performance Engineer job openings:

Weekend Performance Engineer jobs near you

Software Engineer- Model Performance Systems

Baseten

New York, NY • On-site

$165K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE OPPORTUNITY
We are looking for Senior Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work.
RESPONSIBILITIES
  • Benchmarking: Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving).
  • DevEx Improvement: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation.
  • Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis.
  • System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack.
  • Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance.
  • Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions and build release workflow automation for the model runtimes stack.
  • Optimization Automation: Build tools to find the "Pareto frontier"-identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload.

WHAT WE'RE LOOKING FOR
This is a mid-senior, high leverage role. We care about your technical depth, strong communication skills to drive cross-team efforts, ability to navigate vague requirements and mentor other engineers. We want to talk to you if you have:
  • A Love for Systems & Hardware: You aren't just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.
  • An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the "breaking point" of a system.
  • Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements.
  • Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have.

WHY THIS ROLE
  • Direct Impact: Your tools will be the gatekeeper for what defines "good" performance for our customers.
  • Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess.
  • High Ownership: As the lead of a small team, you will have the autonomy to build tools from scratch and contribute to open-source projects.

BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Apply