Efficient Computer
Field Application Engineer
$160K–$230K
San Fransisco, Bay Area OR Pittsburgh, PA +3 · Full-time · Posted Oct 1, 2026
- Location
- San Fransisco, Bay Area OR Pittsburgh, PA
Austin, TX
Pittsburgh, PA
San Francisco, California, United States - Experience
- Minimum 4 years of embedded software development experience and minimum 2 years of successfully supporting customer product development.
- Education
- BS in Electrical Engineering, Computer Science, or similar field is required.
About the job
Guides customers from evaluation through design-in and production of Efficient’s processor solutions, providing technical support and creating demos, reference materials, and customer feedback for engineering teams.
What you'll do
- Present technical solutions, assess customer applications, and support design-wins through production.
- Provide hands-on support across evaluation, board bring-up, debugging, and optimization; build demos, proofs of concept, and benchmarks.
- Create customer-facing technical materials and relay customer requirements and competitive insights to Product and Engineering.
What they ask for
- BS in Electrical Engineering, Computer Science, or similar field.
- Minimum 4 years of embedded software development experience, including understanding of embedded hardware and digital and analog circuits.
- Experience with ARM or RISC-V microcontrollers; proficiency in C/C++ for embedded systems and Python for scripting, tooling, and test automation.
- Minimum 2 years of successfully supporting customer product development.
Nice to have
- Experience supporting design-wins at a semiconductor company or MCU vendor; background in industrial IoT, wearables, smart home, medical, or defense.
- Experience with sensor fusion algorithms, edge AI models, wireless modules or wireless SOCs, and hands-on lab equipment.
Pay
$160,000 to $230,000 (base salary); 10% annual bonus (amount not specified)
Tools
ARM, RISC-V, C/C++, Python, JTAG/SWD
AI focus
Supports customer applications involving edge AI models and demonstrates the processor’s performance and energy advantages for AI.
Model-written summary · the original posting is authoritative