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Wise Skulls is seeking an Enterprise AI Implementation Business Analyst with deep embedded software experience. The role focuses on designing and implementing AI-enabled workflows for broadband, video, and IoT devices, especially on RDK-based platforms.
The candidate should demonstrate strong C++ in embedded contexts, Python scripting, and familiarity with RTOS, drivers, and device trees, while coordinating across engineering teams in Denver.
Visa: USC and GC Only
Location: Denver, CO (4 days onsite/week)
QUALIFICATION:BE/B.Tech
Experienced Engineer specializing in developing, integrating, testing, and maintaining broadband, video, and IoT solutions on RDK-based devices such as set-top boxes, gateways, and routers
Strong proficiency in C++ (11/14/17) for embedded contexts (const correctness, RAII, templates, STL in constrained environments).
Strong scripting with Python (pytest/unittest, argparse, asyncio/threads, serial, numpy/pandas for analysis).
Working experience with Perl for legacy automation, parsing, tooling, infrastructure scripts.
Experience with microcontrollers (e.g., ARM Cortex-M/R/A) or Embedded Linux (Yocto/Buildroot, device tree, system).
Familiarity with RTOS (e.g., FreeRTOS, ThreadX, Zephyr) and interrupt-driven design.
Hands‑on with communication protocols: I2C, SPI, UART, CAN, USB, TCP/IP.
Board bring‑up, BSP customization, bootloaders (U‑Boot), secure boot, OTA update mechanisms.
Experience with Yocto, Cmake toolchain files, and containerized toolchains (Docker).
Exposure to safety or quality standards (ISO 26262, IEC 62304, MISRA C/C++).
Experience with wireless stacks (BLE, Wi‑Fi, Thread, Zigbee), edge AI, or DSP.
Knowledge of power management, low‑power modes, and battery‑operated devices.
Familiarity with Perl CPAN tooling and migration of legacy Perl scripts to Python when appropriate.
Performance profiling and memory analysis on embedded targets (perf, gprof, valgrind, ETM/ITM).
Minimum years of experience: 8-10 years
Bachelor's or Master of Engineering