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Applications engineer • berkeley ca
- Promoted
Applications Engineer (GPU-Accelerated)
Alembic TechnologiesSan Francisco, CA, US- Promoted
Bioinformatics Software Engineer, AI Applications - Keplogic
Pear VCSan Francisco, CA, US- Promoted
Sr. Applied Machine Learning Engineer - Applications
Legion IntelligenceSan Francisco, CA, US- New!
Staff Engineer - Edge Applications
FastlySan Francisco, CA- Promoted
Systems Engineer, AI Applications Tooling
Cloudflare, Inc.San Francisco, CA, US- Promoted
Applications Quality Engineer / Sr. Engineer
AescapeSan Francisco, CA, US- Promoted
Applications Engineer, Enterprise
PsiNapse Technology LtdSan Francisco, CA, United States- Promoted
Principal AI Engineer, Enterprise Applications
DocuSignSan Francisco, CA, US- Promoted
Applications Engineer
VirtualVocationsSan Francisco, California, United States- Promoted
Applications Engineer
MxvSan Francisco, CA, United States- Promoted
Software Applications Engineer
H1b LcaSan Francisco, CA, US- Promoted
Staff Software Engineer, Evaluation Applications
Davita Inc.San Francisco, CA, US- Promoted
Large Language Learning Model Applications Engineer
Universal AudioSan Francisco, CA, US- Promoted
Software Engineer, Reporting Applications
HeartFlow, IncSan Francisco, CA, US- Promoted
Principal Application Engineer - Finance & HR Applications
Center for Elders' IndependenceOakland, CA, US- Promoted
Bluetooth / NFC Applications Engineer
Standard FleetSan Francisco, CA, US- Promoted
Software Engineer, AI Applications
Sanity CMSSan Francisco, CA, US- Promoted
Software Engineer, Edge Applications
Hayden AISan Francisco, CA, USEnterprise Applications Engineer
Hatch Global SearchSan Francisco, California, US- Promoted
Sr Software Engineer, Cross-Platform Applications
Rollbar, Inc.San Francisco, CA, USThe average salary range is between $ 149,709 and $ 218,500 year , with the average salary hovering around $ 183,598 year .
- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Arlington, TX (from $ 110,000 to $ 239,000 year)
- Berkeley, CA (from $ 149,709 to $ 218,500 year)
- Burbank, CA (from $ 146,000 to $ 214,871 year)
- Wilmington, NC (from $ 87,139 to $ 208,000 year)
- Westminster, CO (from $ 86,408 to $ 200,000 year)
- Sioux Falls, SD (from $ 81,650 to $ 200,000 year)
- Seattle, WA (from $ 118,333 to $ 200,000 year)
- Fremont, CA (from $ 90,002 to $ 198,444 year)
- Lewisville, TX (from $ 80,000 to $ 197,730 year)
- Moreno Valley, CA (from $ 111,392 to $ 197,700 year)
The average salary range is between $ 80,000 and $ 151,585 year , with the average salary hovering around $ 103,838 year .
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Applications Engineer (GPU-Accelerated)
Alembic TechnologiesSan Francisco, CA, US- Full-time
Join to apply for the Applications Engineer (GPU-Accelerated) role at Alembic Technologies
21 hours ago Be among the first 25 applicants
Join to apply for the Applications Engineer (GPU-Accelerated) role at Alembic Technologies
This range is provided by Alembic Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
235,000.00 / yr - $258,000.00 / yr
About Alembic
Alembic is pioneering a revolution in marketing, proving the true ROI of marketing activities. The Alembic Marketing Intelligence Platform applies sophisticated algorithms and AI models to finally solve this long-standing problem. When you join the Alembic team, you'll help build the tools that provide unprecedented visibility into how marketing drives revenue, helping a growing list of Fortune 500 companies make more confident, data-driven decisions.
About The Role
We're looking for a Machine Learning Applications Engineer with GPU, Python, and C++ expertise to help productionize cutting-edge causal AI models. You'll work closely with ML scientists to turn experimental research code into optimized, scalable, and well-structured software that powers Alembic's real-time analytics and inference systems.
This is a hands-on, performance-focused role where you'll operate at the intersection of applied ML, systems engineering, and high-performance computing.
Key Responsibilities
- Translate early-stage ML research and prototypes into reliable, testable, and performant software components
- Use CUDA, Triton, and Numba to optimize GPU-accelerated workloads for inference and preprocessing
- Contribute to core libraries and performance-critical routines using modern C++ in hybrid Python / C++ environments Develop modular, reusable infrastructure that supports deployment of ML workloads at scale Collaborate with data scientists and engineers to optimize data structures, memory usage, and execution paths
- Build interfaces and APIs to integrate ML components into Alembic's broader platform Implement logging, profiling, and observability tools to track performance and model behavior
Must-Have Qualifications
Nice-to-Have
What You'll Get
Compensation Range : $235K - $258K
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
Industries
Software Development
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