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HomeCompaniesViant TechnologySenior IoT Engineer

Senior IoT Engineer

Viant Technology · Boston, Massachusetts, United States · Active · $140,000–$160,000 / year · Greenhouse

Job facts

FieldValue
CompanyViant Technology
TitleSenior IoT Engineer
Normalized title-
Department / teamEngineering
LocationBoston, MA, United States
Work model-
Employment type-
Salary$140,000–$160,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-18 / 2026-06-19
Changed / last seen2026-06-19 / 2026-06-19

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PageWhat it containsOpen
Company jobsActive postings from Viant Technology.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Boston.Open
Department jobsActive postings in Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyViant Technology
Source4550e12e-c447-46ee-9271-ec2156d38b68
ATS providerGreenhouse

Description

WHAT YOU’LL DO Viant’s TVision team is redefining television and video audience measurement through a unique combination of computer vision, content recognition, identity-safe measurement, and advanced analytics. Our proprietary technology measures real-world viewer engagement and attention across millions of hours of video content, helping advertisers, publishers, and media owners better understand audience behavior. As a Senior IoT Engineer on the TVision Meter Platform team, you will help define the next generation of TVision’s audience measurement devices. Working at the intersection of embedded hardware, edge AI, computer vision, and Linux systems, you will evaluate emerging hardware platforms, deploy and optimize computer vision models, and build the software that powers our privacy-first measurement technology. This role is ideal for an engineer who enjoys rapidly prototyping solutions, working close to the hardware, and solving complex performance challenges across CPU, GPU, memory, and AI accelerator architectures. THE DAY-TO-DAY 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. LIFE AT VIANT Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the BEST PLACES TO WORK ! Some our favorite employee benefits include fully paid health insurance , paid parental leave and unlimited PTO and more. View a list of our benefits here . Base compensation range: $140,000 - $160,000 In accordance with California law, the range provided is Viant’s reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education. Not the right position for you? Check out our other opportunities! Viant Careers #LI-TD1 About Viant 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. By clicking “Apply for this Job” and providing any information, I accept the Viant California Personnel Privacy Notice.

Full job record

Job IDcb7c60215baad75cf0fb9128f386683cdc70665b
Org ID861cf2e4-b7fa-4a37-9e37-505979855cf8
Source ID4550e12e-c447-46ee-9271-ec2156d38b68
Board ID4550e12e-c447-46ee-9271-ec2156d38b68
Providergreenhouse
Provider Job Key4288052009
TitleSenior IoT Engineer
Normalized Title
Statusactive
Activeyes
Location TextBoston, Massachusetts, United States
DepartmentEngineering
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionMA
CityBoston
Salary Rawcompensation range: $140,000 - $160,000 In accordance with California law, the range provided is Viant’s reasonable est
Salary Min140,000
Salary Max160,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/vianttechnology/jobs/4288052009
Apply URLhttps://job-boards.greenhouse.io/vianttechnology/jobs/4288052009
First Seen At2026-06-19 07:33:41Z
Last Seen At2026-06-19 07:33:41Z
Last Checked At2026-06-19 07:33:41Z
Last Changed At2026-06-19 07:33:41Z
Inactive At
Source Posted At2026-06-18 17:28:51Z
Source Updated At2026-06-18 17:28:51Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=vianttechnology/date=2026-06-19/2026-06-19T07-33-41-606Z-86bc86ea64bb488305bf84d79a561e483ab7dfbae2ff8886cdbe1d1512901d1c.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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