[India] Embedded Automation & QA Engineer - Hyderabad Knowledge City, India
Validate Dynamic Neural Accelerator AI processor IP and software releases through automated test frameworks and hardware test infrastructure.
About the role
This role is responsible for ensuring the quality and reliability of AI/ML software and hardware products through test execution, automation, and infrastructure maintenance. Work centers on qualifying software releases and Dynamic Neural Accelerator AI processor IP.
What you'll do
- Develop, improve, and execute test cases and test automation for qualifying software releases and AI/ML IP. - Troubleshoot, root cause, and report software, hardware, and infrastructure issues. - Create and review test reports, problems, and product documentation artifacts. - Monitor and maintain server infrastructure, hardware reference boards, tools, Jenkins pipelines, and essential QA infrastructure. - Track updates in requirements and technologies including new AI frameworks, models, tools, and software. - Participate in team development, leadership, and cross-training activities.
What you'll need
- 5-10 years of experience in testing, test automation development, and working with test frameworks. - 2+ years of experience and proficiency in Python scripting and Python packages. - Exposure to embedded software and hardware product test cycles. - Deep understanding of software development, test processes, and management practices. - Experience with Linux server infrastructure, Dockers/Kubernetes, handling sensitive hardware equipment and reference boards, and ESD practices. - Experience working with GIT, Jenkins pipeline development with Groovy, and software release cycles.
Nice to have
- Bachelor's in Computer Engineering, Computer Science, and/or Electrical Engineering. - Knowledge of C, C++, Ruby, or Shell scripting. - Exposure to AI/ML model development, training, and inference, including basics of Deep Learning, Tensorflow, Keras, or Pytorch. - Experience working in an Agile environment across multidisciplinary teams and time zones. - Experience creating test reports and data visualization with tools such as Grafana.
Skills: software QA, test cases, test automation, AI/ML software, hardware products
This role has been open 124 days — well above the 67-day median for Design Verification roles.
Design Verification · Design Verification
|
Open roles in category
1268
|
Median days open
67 d
|
Median salary
$185k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | EdgeCortix | All employers we track in this specialty (1268 roles · 96 employers) |
|---|---|---|
| Open roles in this specialty | 5 | 1268 |
| Open roles in the wider Digital Design & Verification family | 8 | 3359 · 116 employers |
| Median days open | 124 d | 67 d (+57 d vs this employer) |
| Median salary (USD postings) | — | $185k |
Skills observed across this category: software QA, test cases, test automation, AI/ML software, hardware products
Who's hiring in this category
- Qualcomm · 120 open roles · median 46 d
- NVIDIA · 93 open roles · median 66 d
- AMD · 92 open roles · median 56 d
- Synopsys · 67 open roles · median 42 d
- SiFive · 56 open roles · median 80 d
- Cadence Design Systems · 50 open roles · median 132 d
How we counted: 1268 open Design Verification (Design Verification) roles from 96 employers tracked in the SemiconductorJobs index, counted 27 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Digital Design & Verification family row. Figures refresh nightly.