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60 Catalyst Labs Software Performance Engineer Jobs Hiring Near You

Catalyst Labs

Tech Lead, Data & Inference Engineer

Dallas, TX · On-site

$113K - $136K/yr

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data ...

Astera Labs

Performance Engineer

San Jose, CA · On-site

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity ... Partner closely with ASIC architecture, firmware, software, Product Definition, Product ...

Astera Labs

Performance Engineer

San Jose, CA

San Jose, CA (On-site) Role Overview Astera Labs is a hyper-growth connectivity company enabling ... Partner closely with ASIC architecture, firmware, software, Product Definition, Product ...

Mercor

AI Performance Engineer - C++ Expert

New York, NY · Remote

$70 - $110/hr

... labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter ... Performance Engineer (C++, Python, Rust) Type: Contract Compensation: $70-$110/hour Location:

Mercor

Performance Engineer - AI Systems

New York, NY · Remote

$70 - $110/hr

... labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter ... Performance Engineer (C++, Python, Rust) Type: Contract Compensation: $70-$110/hour Location:

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Infographic showing various Software Performance Engineer job openings at Catalyst Labs in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Tech Lead, Data & Inference Engineer

Catalyst Labs

San Jose, CA • On-site

$134K - $161K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data platform that transforms diverse data sources into reliable business insights, while mentoring engineers and promoting best practices across the organization.
Responsibilities:
• Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use.
• Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems.
• Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte.
• Conduct root cause analysis and provide long lasting solutions.
• Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation.
• Manage version control, caching and evaluation loops.
• Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making.
• Guide architectural decisions across the data lake and the entire pipeline stack.
• Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally.
• Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases.
• Mentor engineers, review code and raise the overall technical standard across teams.
• Promote data driven best practices throughout the organization.
Qualifications:
Required:
• Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
• Excellent written and verbal communication; proactive and collaborative mindset.
• Comfortable in hybrid or distributed environments with strong ownership and accountability.
• A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes.
• Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly.
• 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design.
• Expert SQL (query optimization on large datasets) and Python skills.
• Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability.
• Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
Preferred:
• Strong Node.js skills for faster onboarding and system integration.
• Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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