Senior Embedded Software Engineer

• Evaluate CPUs, GPUs, NPUs, and embedded computing platforms to identify the optimal architecture for future TVision measurement devices.
• Benchmark computer vision and deep learning workloads across multiple hardware platforms to drive hardware selection and cost optimization decisions.
• Prototype and validate edge AI solutions using platforms such as NVIDIA Jetson, Intel Atom, Coral TPU, Rockchip NPU, Qualcomm, and emerging accelerator technologies.
• Deploy, optimize, and support multiple computer vision and machine learning models running concurrently on embedded devices.
• Analyze system performance including compute utilization, memory consumption, thermal characteristics, power efficiency, and inference latency.
• Develop software and systems-level applications in Python and C/C to support measurement, device management, and computer vision models.
• Work closely with Linux operating system components, including system services, kernel interfaces, device drivers, and hardware integration layers.
• Collaborate with Computer Vision, Data Science, and Platform Engineering teams to translate research models into scalable edge deployments.
• Rapidly prototype, test, and iterate on hardware and software solutions to improve device capabilities while reducing platform costs.
• Influence the long-term hardware roadmap through hands-on evaluation, proof-of-concept development, and technical recommendations

QUALIFICATIONS AND REQUIREMENTS

• Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field.
• 5 years of experience developing embedded, IoT, edge computing, or embedded AI systems.
• Experience deploying computer vision or deep learning models on edge devices.
• Strong understanding of microprocessors (CPU, GPU, etc.), memory, storage, and system architecture tradeoffs.
• Strong Python development skills and the ability to rapidly prototype and validate technical concepts.
• Experience developing embedded applications and systems software in C/C .
• Familiarity with Linux kernel interfaces, system services, device drivers, and low-level system troubleshooting.
• Experience developing on TensorFlow or Pytorch
• Experience with AI inference optimization technologies such as TensorRT, OpenVINO, ONNX Runtime, TensorFlow Lite, or similar frameworks.

 

Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.

 

Viant is an equal opportunity employer and makes employment decisions on the basis of merit.  Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws.  Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.

 

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