Amazon
Package Engineer, Annapurna Labs - AI Silicon Packaging
$154K–$215K
Tempe, AZ +1 · Full-time · Posted Oct 22, 2026
- Location
- Tempe, AZ
Austin, TX - Experience
- 6+ years of industry experience in a related field as an alternative to a bachelor’s degree; preferred alternatives include 8+ years with a master’s or 6+ years with a PhD.
- Education
- Bachelor’s in Materials Science, Mechanical Engineering, Electrical Engineering, or Chemical Engineering, or 6+ years of industry experience in a related field.
About the job
Develops package technologies for next-generation Trainium AI accelerators, guiding designs and processes from concept through qualification and volume production.
What you'll do
- Drive package technology development across architecture, design, materials, processes, yield, reliability, and system integration.
- Coordinate with suppliers and manufacturing partners on validation, qualification, risk reduction, and root-cause analysis.
- Evaluate technology tradeoffs and represent the team in cross-functional design reviews and program checkpoints.
What they ask for
- Experience coordinating technical teams, peers, and business stakeholders.
- Bachelor’s degree in a listed engineering or materials science field, or 6+ years of related industry experience.
- Expertise in at least one of substrate/PCB technology, interposer technology, or package and board assembly technology.
- Track record of driving technology development from concept through qualification.
Nice to have
- Master’s degree in a listed field or 8+ years of related experience; or PhD in a listed field or 6+ years of related experience.
- Familiarity with package-level SI/PI, advanced substrate/interposer processes, or package and board assembly processes; CPO experience is a plus.
Pay
USD 153,600.00 - 215,000.00 annually base salary (USA, AZ, Tempe); USD 153,600.00 - 215,000.00 annually base salary (USA, TX, Austin)
Tools
Trainium, HDI, CoWoS-R/L, RDL, TSV, SI/PI, CPO, TIM
AI focus
Develops packaging technologies for next-generation Trainium AI accelerators.
Model-written summary · the original posting is authoritative