Staff Analog Validation Engineer – with AI/ML
Pune Full-time Senior AI Engineering
At a glance
Senior AI Engineering role at Nxp. Pune · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SenioritySenior
LocationPune
EmploymentFull-time
PostedJul 21, 2026 · 3mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Plan and run tests for analog and mixed-signal blocks in MCU and MPU products
- Measure performance across voltage, temperature, process and frequency conditions, then compare results with simulations
- Stress-test silicon, assess margins and reliability, and investigate failures with design teams
- Build AI/ML methods to flag unusual data, group failures and predict likely root causes
- Use predictive analytics and dashboards to improve test coverage and shorten silicon debugging
What you bring
- At least seven years in analog semiconductor validation, product engineering or silicon debugging
- A bachelor's or master's degree in electrical, electronics, computer engineering or a related discipline
- Hands-on experience with MCU architectures, embedded systems and lab tools such as JTAG or oscilloscopes
Who this fits
This is a senior, hands-on validation role combining analog silicon testing with AI/ML development. The position is based in Pune, India.
From the employer
We are seeking a talented Analog Validation Engineer with AI/ML expertise to join our Silicon Validation team focused on next-generation MCU products.
Analog & Mixed-Signal Validation
- Develop and execute validation plans for analog and mixed-signal IPs in MCU and MPU products.
- Perform electrical characterization across:
- Voltage
- Temperature
- Process corners
- Frequency ranges
- Validate analog subsystems including:
- PLLs and Oscillators
- ADCs and DACs
- Voltage Regulators (LDO/DC-DC)
- Power Management Units (PMU)
- Comparators and Sensors
- Clocking and Reset architectures
- High-speed interfaces
- Execute shmoo analysis, margin testing, stress testing, and reliability characterization.
- Correlate silicon measurements against design and simulation expectations.
- Identify, debug, and root-cause silicon issues working closely with design teams
AI/ML for Analog Validation
- Develop AI/ML solutions for:
- Anomaly detection in characterization data
- Automated failure clustering
- Root-cause prediction
- Outlier identification
- Trend analysis across silicon generations
- Apply machine learning techniques to:
- Predict silicon performance variations
- Identify manufacturing and process-related anomalies
- Optimize validation coverage
- Accelerate debug cycles
- Build intelligent dashboards and predictive analytics tools supporting validation teams.
Job Qualification:
Bachelor’s or Master’s degree in Electrical/Electronics/Computer Engineering (or related).
7+ years of experience in semiconductor validation (analog), product engineering, or silicon debug.
Strong hands-on background in:
MCU architectures
Embedded systems
Lab bring-up and silicon debug tools (JTAG, logic analyzers, scopes, etc.