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HomeCompaniesFa Efds Dev16 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1Software Engineer

Software Engineer

Fa Efds Dev16 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · Redford, MI, United States; Manufacturing Technology Development Center, Redford, MI, US · On Site · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Efds Dev16 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
TitleSoftware Engineer
Normalized title-
Department / teamPD Operations and Quality
LocationRedford, MI, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-04-23 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-19

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PageWhat it containsOpen
Company jobsActive postings from Fa Efds Dev16 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Redford.Open
Department jobsActive postings in PD Operations and Quality.Open
Work model jobsActive On Site postings.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

CompanyFa Efds Dev16 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
Source0e033658-8211-468e-b853-a970ae091872
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world. Responsibilities Responsibilities: Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks. Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends. Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry. Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights. AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality. Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously Cross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor. Qualifications Required Qualifications: Experience: 3+ years of professional software engineering experience in a production environment. Edge Development: Proven experience deploying software to edge computing hardware or IoT devices. Backend Mastery: Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js). Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services. Modern Frontend: Experience building responsive web applications with React or similar modern frameworks. DevOps Basics: Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based) Desired Skills: Experience with OpenCV, TensorRT, or OpenVINO for vision optimization. Familiarity with ML frameworks like PyTorch or TensorFlow . Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming. A passion for "Agentic" workflows and continuous improvement.

Full job record

Job IDb364298ddc266c81c8cfad745676c7f93de3ed59
Org IDf8235f28-73a9-4550-bbe3-c63e803e4e48
Source ID0e033658-8211-468e-b853-a970ae091872
Board ID0e033658-8211-468e-b853-a970ae091872
Provideroracle_hcm
Provider Job Key62571
TitleSoftware Engineer
Normalized Title
Statusactive
Activeyes
Location TextRedford, MI, United States; Manufacturing Technology Development Center, Redford, MI, US
DepartmentPD Operations and Quality
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionMI
CityRedford
Salary RawDescription We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world. Responsibilities Responsibilities: Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks. Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends. Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry. Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights. AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality. Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously Cross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor. Qualifications Required Qualifications: Experience: 3+ years of professional software engineering experience in a production environment. Edge Development: Proven experience deploying software to edge computing hardware or IoT devices. Backend Mastery: Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js). Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services. Modern Frontend: Experience building responsive web applications with React or similar modern frameworks. DevOps Basics: Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based) Desired Skills: Experience with OpenCV, TensorRT, or OpenVINO for vision optimization. Familiarity with ML frameworks like PyTorch or TensorFlow . Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming. A passion for "Agentic" workflows and continuous improvement.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-efds-dev16-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/62571
Apply URLhttps://fa-efds-dev16-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/62571
First Seen At2026-05-31 17:57:22Z
Last Seen At2026-06-19 11:05:56Z
Last Checked At2026-06-19 11:05:56Z
Last Changed At2026-05-31 17:57:22Z
Inactive At
Source Posted At2026-04-23 16:04:04Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-efds-dev16-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-19/2026-06-19T11-04-49-963Z-17a6f1373c28d3b09d89240a715d54492b8f8043eecdb53253be77de9a15a387.json
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