SoC Performance Validation Engineer
3 days ago
Company Description
Chiplogic Technologies, established in 2018, is a leading IP and Product Engineering Services company specializing in Semiconductor, Systems, IoT, and AI/ML domains. The company provides high-quality and reliable services, including ODC and full turnkey semiconductor design, system solutions from concept to silicon, and IoT final system solutions. Their expertise also extends to AI/ML services around their proprietary VISARD (Video Synthesis And Real-time Dynamics) framework. Chiplogic is committed to delivering innovative and dependable engineering solutions to its partners.
Role Description
You will be part of the
Data Center System Performance
team responsible for optimizing performance on
Snapdragon chipsets
. This role involves hardware validation, performance analysis, and system optimization across CPU, memory, and AI/ML domains. You will work closely with various SoC subsystems to identify bottlenecks and improve overall platform efficiency.
Key Responsibility
- Drive
hardware validation
and
performance analysis
on silicon using industry-standard benchmarks such as
Dhrystone, GeekBench, SpectInt, ResNet
, etc. - Utilize performance tools to analyze
load patterns across IPs
and identify system-level performance bottlenecks. - Evaluate and characterize system performance at various
junction temperatures
, ensuring optimized operation at
high ambient temperatures
. - Analyze and optimize performance parameters of SoC infrastructure components including:
- NoCs
- LP5 DDR
- QoS frameworks
- SMMU
- Caches
- Other system-level interconnects and subsystems
Minimum Qualification
- 2+ years of industry experience
in one or more of the following areas: - Working on
ARM/x86-based hardware boards - Hands-on with
Linux OS
, debug tools such as
JTAG
, and performance profiling tools - Experience with
NI DAQ-based power measurements
and performing
thermal measurements - Experience in
application or driver development
in
Linux/QNX
(preferred). - Experience in
power and performance data collection
(preferred). - Strong analytical ability with a
quick learning attitude
. - Excellent
communication skills
and ability to collaborate in cross-functional teams.
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