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Senior Software Optimization Engineer

Efficient Computer · San Jose, CA OR Pittsburgh, PA · Active · Greenhouse

Job facts

FieldValue
CompanyEfficient Computer
TitleSenior Software Optimization Engineer
Normalized title-
Department / teamOptimization
LocationSan Jose, CA, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2025-09-08 / 2026-05-29
Changed / last seen2026-06-02 / 2026-06-20

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PageWhat it containsOpen
Company jobsActive postings from Efficient Computer.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Jose.Open
Department jobsActive postings in Optimization.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEfficient Computer
Sourcee75d45c9-c058-435c-8a6b-5739e0190e04
ATS providerGreenhouse

Description

Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution We are seeking a Senior Software Optimization Engineer to join our growing team. Efficient’s Senior Software Optimization Engineer will design, optimize, and deploy applications for the world’s most energy-efficient programmable processor (the “Fabric”). In this role, you will take ownership of complex, performance-critical applications, working closely with Efficient’s compiler team to implement customer requirements, validate software quality, and provide deep technical insight into compiler interactions. This position is a unique opportunity to work on cutting-edge hardware/software co-design, while making an immediate impact in building the next generation of embedded applications. Key Responsibilities Independently design and implement complex embedded applications based on customer requirements, specifications, and existing code. Drive application optimization using Efficient’s compiler and software stack targeting the Fabric. Deploy and validate applications on the Fabric across software simulation and FPGA emulation environments. Own performance and energy-efficiency analysis, developing benchmarks and methodologies to evaluate applications against customer requirements. Identify, reproduce, and distill issues into minimum-viable test cases, conveying precise feedback to the compiler team. Collaborate deeply with the compiler team to test, debug, and refine compiler features. Contribute advanced optimizations to frameworks and libraries in domains such as DSP and machine learning. Provide architectural feedback based on hands-on experience to influence both software and hardware evolution. Required Qualifications & Experience Requirements Must be an excellent embedded engineer with 8+ years of work experience 3+ years of C/C++ experience Deep knowledge of at least one embedded platform, such as MSP430, STM32, Ambiq Apollo, PIC32, or similar Experience developing and deploying applications under resource constraints Experience using non-standard build environments and compiler toolchains, especially for embedded systems Experience using industry standard development and debugging tools for embedded development Strong attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills Good problem solving skills Desired Qualifications & Experience Requirements Experience using LLVM, MLIR, GCC, or a similar compiler framework to develop compiler passes Experience building TinyML models and deploying models under severe resource constraints (e.g. limited memory) Experience writing optimized BLAS and DSP kernels Knowledge of computer architecture We offer a competitive salary for this role, generally ranging from $160,000 to $210,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate. Why Join Efficient? Efficient offers a competitive compensation and benefits package , including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility . We are committed to personal and professional development and strive to grow together as people and as a company.

Full job record

Job ID529e12f3ac1148c5ad20f585aac880b608643a98
Org IDa91b068a-14f8-41dd-90bf-943fb9a9f3ba
Source IDe75d45c9-c058-435c-8a6b-5739e0190e04
Board IDe75d45c9-c058-435c-8a6b-5739e0190e04
Providergreenhouse
Provider Job Key4021312009
TitleSenior Software Optimization Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Jose, CA OR Pittsburgh, PA
DepartmentOptimization
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CitySan Jose
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/efficientcomputer/jobs/4021312009
Apply URLhttps://job-boards.greenhouse.io/efficientcomputer/jobs/4021312009
First Seen At2026-05-29 23:04:25Z
Last Seen At2026-06-20 07:38:49Z
Last Checked At2026-06-20 07:38:49Z
Last Changed At2026-06-02 12:10:34Z
Inactive At
Source Posted At2025-09-08 19:47:21Z
Source Updated At2026-06-01 23:26:47Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=efficientcomputer/date=2026-06-20/2026-06-20T07-38-49-688Z-9ff822a4eec6fbf9d4b4f30c151ac72c78291140b7a5c709cfc1dc39efd87f90.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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