Note: We are specifically seeking candidates with hands-on experience in Qualcomm 8550 and 6490 platforms. Please apply only if you have expertise with these technologies, as they are critical to this role.

We are seeking a skilled and motivated Software Engineer with expertise in Qualcomm devices to join our team. This position requires a strong background in embedded systems, cross-platform development, and machine learning. The ideal candidate will have deep experience working with Qualcomm boards and Android build environments, as well as a passion for solving complex technical challenges.

Key Responsibilities:

• Develop and maintain software applications for Qualcomm devices, with a focus on QC 8550 and 6490 boards.

• Work with machine learning models, optimizing performance for HTP and qualcomm GPUs.

• Build and cross-compile complex ARM and Android applications for Windows, macOS, and x86 platforms.

• Navigate and utilize UNIX environments, libraries, and toolsets effectively.

• Collaborate on Android build systems and environments, ensuring seamless integration with existing infrastructure.

• Implement inference techniques for large language models (LLMs) and explore related topics such as Retrieval-Augmented Generation (RAG).

• Apply strong system fundamentals to debug, optimize, and scale software solutions.

• Contribute to the development of cutting-edge machine learning and AI applications.

Required Skills and Qualifications:

• Proficiency in C/C++ and Python programming languages.

• Expertise in cross-compile toolsets for building applications across platforms.

• Strong experience with Android build environments and associated toolchains.

• Advanced knowledge of UNIX environments, libraries, and toolsets.

• Hands-on experience with Qualcomm QC 8550 and 6490 boards.

• Proficiency in working with machine learning models on HTP and Adreno GPUs.

• Familiarity with large language models (LLMs), inference processes, and topics like Retrieval-Augmented Generation (RAG).

• Strong system fundamentals and debugging capabilities.

Preferred Qualifications:

• Experience working on contract-to-hire roles in dynamic team environments.

• Background in developing scalable, efficient embedded solutions for AI and ML applications.

• Familiarity with Qualcomm’s software development ecosystem and tools.

Anticipated Contract Length: Up to 6 months contract or contract-to-hire

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Reproductive health decision-making.
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Iterate.ai jobs

Software Engineer (Qualcomm Devices)