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채용Autodesk

Senior QA Engineer, AI/ML

Autodesk

Senior QA Engineer, AI/ML

Autodesk

Bengaluru, IND

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Equity

필수 스킬

Python

TypeScript

Java

Test automation

Cloud-native systems

API testing

Debugging

AI/ML testing

Job Requisition ID

26WD95302

Position Overview

The Applied AI team in Autodesk’s Data and Process Management (DPM) organization ships cloud-native services that power AI agents and AI-driven workflows that make our Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows smarter and easier.

We’re hiring a QA/SDET who is automation-first and production-minded. You’ll start by owning quality for cloud services and AI-integrated features, then grow into owning our AI evaluation pipelines(built on internal frameworks and Opik) over the next2–3 quarters.

You don’t need to be an ML expert on day one—but you do need strong software engineering fundamentals, comfort working with distributed systems, and curiosity to learn AI-specific quality evaluation patterns and tools.

Responsibilities

  • Build and maintain automated tests for cloud-native services: API/contract tests,, and end-to-end workflow tests

  • Validate non-functional requirements: performance, resiliency/failure modes, multi-tenant behavior, and observability-driven debugging (logs/metrics/traces)

  • Partner with engineers and PMs to define acceptance criteria and quality gates for releases

  • Develop and maintain scenario-based regression suites for AI-integrated workflows (multi-step tasks, tool calls, retrieval-backed behaviors)

  • Build and operationalize evaluation pipelines using internal frameworks and evaluation tools like Opik

  • Curate and maintain “golden” datasets (test cases, expected behaviors, labels/metadata)

  • Automate Agent evaluation runs (CI, scheduled runs, and/or sampled runtime evaluation)

  • Publish results to dashboards and establish alerting for failures/regressions

  • Security-aware testing for AI surfaces: include abuse cases (e.g., prompt-injection style attempts, unsafe tool execution paths, sensitive-data leakage checks) and verify guardrails/controls

  • AI-assisted delivery: Use AI coding agents to accelerate delivery of tests and automations

Minimum Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience

  • 4 years experience as a QA Engineer, SDET, or Software Engineer with substantial test automation ownership

  • Strong programming skills in Python and/or TypeScript/Java; you write maintainable automation code, not just scripts

  • Experience testing cloud-native distributed systems (REST/GraphQL APIs, async workflows, service-to-service integrations)

  • Proven verification habits: test design, CI hygiene, disciplined incremental delivery, and strong debugging skills

  • Comfort operating production-like systems: reading telemetry, reproducing issues, triaging failures, and driving fixes with engineers

  • Strong communication: you can document test strategy, influence quality gates, and collaborate cross-functionally

  • Experience with testing AI-integrated systems in production (any of):

  • LLM feature regression testing, prompt/version change validation

  • RAG-style workflows (retrieval quality checks, grounding/citation checks, data freshness)

  • Tool-use / agentic workflows (validating tool-call sequences and failure recovery paths)

  • Demonstrated experience using AI coding tools to develop tests for production systems, and the engineering judgment to verify and correct AI output (code review rigor, debugging skill, ownership of correctness)

Preferred Qualifications

  • Familiarity with evaluation tooling (Opik, Langfuse, or similar), dataset versioning practices, and automated evaluation runs

  • Experience with performance testing and resiliency patterns (rate limiting, retries/idempotency validation, chaos/fault testing)

  • Security-minded testing experience, especially for systems that integrate external tools/data sources

Learn More About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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Autodesk

Autodesk

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Autodesk, Inc. is an American multinational software corporation that provides software products and services for the architecture, engineering, construction, manufacturing, media, education, and entertainment industries.

10,001+

직원 수

San Francisco

본사 위치

$50B

기업 가치

리뷰

3.0

3개 리뷰

워라밸

3.0

보상

2.5

문화

2.8

커리어

3.2

경영진

2.5

35%

친구에게 추천

장점

Strong brand recognition in industry

Career advancement opportunities

Promotion to leadership roles

단점

Lower compensation packages

Poor location/undesirable area

Exclusion from decision-making processes

연봉 정보

929개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Associate Business Intelligence Analyst

2개 리포트

$131,955

총 연봉

기본급

$101,504

주식

-

보너스

-

$131,955

$131,955

면접 경험

2개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

50%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

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