Software Engineer, Agent Harness & Evaluation

Sivadconsulting; San Jose (CA); Vor Ort; USD 180.000 - 325.000; Vollzeit

Zusammenfassung

Sivadconsulting in San Jose, CA is seeking a Software Engineer for Agent Harness & Evaluation to advance AI agents for hardware applications. You will identify failure modes, design comprehensive evaluations, and translate experiments into production software.

You will join a growing team of software engineers, researchers, and hardware experts, collaborating across discovery, evaluation design, applied research, and product development to tackle real-world engineering challenges.

Qualifikationen

• Proficient in Python and TypeScript.
• Familiar with modern language models and agent systems.
• Experience with ML workflows and model inference.

Aufgaben

• Find failure modes of AI agents and design evaluations to improve performance, reliability, and efficiency.
• Build new agent capabilities including tool interfaces, context management, memory, and orchestration.
• Analyze traces and results to identify bottlenecks and distinguish real improvements from noise.
• Collaborate with customers and domain experts to define requirements and ship fixes end-to-end within ~3 months.
• Turn successful experiments into well-built, production-ready software.

Kenntnisse

Python

TypeScript

Language models

Agent systems

ML workflows

Communication

Customer focus

Ownership

Ausbildung

Bachelor's in CS/EE or similar

Jobbeschreibung

Software Engineer, Agent Harness & Evaluation – San Jose, CA

$180k to $325k

We are hiring Software Engineers to improve the performance, reliability, and efficiency of AI agents for hardware applications. You'll identify failure modes, design and run evaluations, develop new agent capabilities, and turn successful experiments into production software. You'll join a sizable, rapidly growing team of software engineers, researchers, hardware experts, customers, and founding and field teams, working across customer discovery, evaluation design, applied research, product development, and deployment for a broad range of hardware-engineering problems.

Responsibilities

• Finding where AI agents fail, then designing and running evaluations to improve their performance, reliability, and efficiency
• Building new agent capabilities, including tool interfaces, context management, memory, and multi-step or multi-agent orchestration
• Digging into traces and experiment results to find bottlenecks, and telling real improvements apart from benchmark noise
• Working with customers and domain experts to understand what they need, then shipping and maintaining fixes from start to finish (within about 3 months)
• Turning successful experiments into well-built, maintainable production software

Qualifications

• Strong software engineering skills, particularly in Python and TypeScript.
• Familiarity with modern language models, agent systems, and common ML workflows.
• Strong communication skills, customer judgment, and the ability to identify the crux of ambiguous technical problems.
• Self-directed and ambitious, with strong ownership, creativity, and product judgment.
• Strong commitment to customer and business outcomes.
• Experience with LLM agents, orchestration, tools, memory, tracing, ML inference, and transformer architectures
• Ability to interface directly with customers to understand requirements and deliver technical solutions
• 3 - 15 years of experience as a software engineer with work on large-scale agent systems
• Experience at a rigorous tech company (Applied Intuition, Palantir, Tesla, etc.) or AI startup (Fireworks, Harvey, Y Combinator companies, etc.)

Nice to Haves

• Interest in EDA, RTL, or hardware-software systems.
• Experience or interest in electronic design automation (EDA), semiconductor domains, RTL, or hardware-software systems

Education

• Bachelor's in CS, EE, or similar degree from a top university