Hands-on experience with SQL database design, ETL tools, and cloud environments like AWS, GCP, or Azure.
Technical expertise with data models, data mining, and segmentation techniques.
Minimum of 5 years of relevant experience in data engineering or similar roles.
Proficiency in Python, Scala, SQL, and scripting languages.
Experience with Big Data platforms such as Databricks, EMR, Hadoop.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Fullstack Agentic AI Engineer

Kyndryl

Dallas, TX 75226

Health InsurancePaid Time OffRetirement Benefit

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Staff Systems Software Engineer, SMS

Micron Technology

Richardson, TX 75080

New, Posted 12 hours ago

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Software Development Engineer 2 [208853]

Aquent Talent

Dallas, TX

$48/hr

RemoteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Hands-on experience with profiling tools and interpreting timing/counter data.
Bachelor's degree in computer science, software engineering, or a relevant field.
Familiarity with a broad range of graphics and performance analysis tooling.
Proven experience identifying performance bottlenecks through trace collection and in-depth analysis.
2-4 years of experience in software development or performance analysis.
Hands-on graphics experience beyond generic software engineering.
Comfortable working in various operating environments (command line basics, driver/runtime builds) and strong written communication for bug reports and triage summaries.
Hardware architecture knowledge relevant to graphics processing.
Strong understanding of real-time rendering fundamentals and the GPU graphics pipeline (draw calls, state changes, shaders, textures, buffers).
Understanding of GPU architecture basics (waves/warps, occupancy, caches, memory bandwidth) and shader instruction set architecture at a high level.
Comfortable working in server environments (shell, services, and basic scripting).
Familiarity with modern graphics API concepts (e.g., command queues/lists, descriptor heaps, resource states/barriers) and basic shader concepts in common shader languages.
Scripting for automation (e.g., Python, PowerShell, Bash) and basic data analysis (e.g., spreadsheets, simple plots).
Proficiency in C/C++ with the ability to read and reason about performance-sensitive code.
Exposure to graphics stack concepts and debugging (e.g., display driver models, graphics infrastructure, event tracing, driver symbol debugging).