CrawlJobs Logo

Full Stack Engineer, Manufacturing Data Platform

1x.tech Logo

1X Technologies

Location Icon

Location:
United States , Hayward

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

180000.00 - 227000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

Our Manufacturing Data Platform is the backbone of robot traceability - capturing every component, calibration, and telemetry reading from factory birth through the entire product lifecycle. We need a versatile engineer who can own this platform end-to-end. As a Full Stack Engineer on the Manufacturing Data Platform, you will be the technical backbone of our Industrial Data Platform (IDP) - owning everything from edge data ingestion to cloud APIs to technician-facing applications. You'll design database schemas, build real-time telemetry pipelines, implement secure authentication, and create intuitive interfaces for factory technicians and end users. This role requires someone who can context-switch between backend services, frontend applications, data architecture, and security implementation. This role is ideal for engineers who thrive on ownership and breadth - you'll touch every layer of the stack and see your work directly impact robot manufacturing quality.

Job Responsibility:

  • Design and build RESTful APIs and WebSocket services using FastAPI on GCP Cloud Run
  • Implement recording mode orchestration: trigger self-checks, capture telemetry, manage session lifecycle
  • Build configuration push/pull APIs with version control and rollback capability
  • Create data pipelines for high-frequency telemetry ingestion (200Hz, 350KB/s per robot)
  • Build Progressive Web App (PWA) for factory technicians: QR scanning, robot diagnostics, recording controls
  • Create admin dashboards for fleet management, user administration, and audit log viewing
  • Implement real-time telemetry visualization with WebSocket integration (<500ms latency)
  • Design mobile-first interfaces optimized for factory floor use (large touch targets, high contrast)
  • Design and optimize database schemas: Cloud SQL (PostgreSQL) for relational data, Bigtable for time-series telemetry
  • Architect data storage strategy: immutable data (OTP), versioned calibration (EEPROM sync), time-series streaming
  • Build the robot genealogy system linking components, calibration, and manufacturing events
  • Implement data lifecycle management from EOL Data Fusion Station through product lifecycle
  • Implement OAuth 2.0 authentication using Google Identity Platform
  • Design and enforce Role-Based Access Control (RBAC): Viewer, Technician, Engineer, Admin, End User
  • Configure TLS/mTLS for edge-to-cloud communication
  • Build comprehensive audit logging for compliance and traceability
  • Manage infrastructure using Terraform and CI/CD pipelines with Cloud Build
  • Integrate with MQTT Sparkplug B for edge gateway communication via EMQX broker
  • Design store-and-forward patterns for offline data buffering on edge gateways
  • Build synchronization logic between local robot storage (EEPROM) and cloud databases
  • Collaborate with Robot OS teams on telemetry schemas and command protocols

Requirements:

  • 5+ years of software engineering experience spanning backend and frontend development
  • Strong proficiency in Python (FastAPI, SQLAlchemy) and TypeScript (React, Next.js)
  • Experience with cloud platforms (GCP preferred): Cloud Run, Cloud SQL, Pub/Sub, BigQuery
  • Solid understanding of database design: relational modeling, time-series databases, query optimization
  • Experience with real-time systems: WebSockets, message queues, or streaming pipelines
  • Understanding of authentication and authorization: OAuth 2.0, JWT, RBAC implementation
  • Experience with infrastructure-as-code (Terraform) and CI/CD pipelines
  • Ability to work independently and own projects end-to-end

Nice to have:

  • Experience with MQTT, Sparkplug B, or industrial IoT protocols
  • Background in manufacturing, robotics, or hardware data systems
  • Experience with Progressive Web Apps (PWAs) and offline-first design
  • Familiarity with time-series databases (Bigtable, InfluxDB, TimescaleDB)
  • Experience with data visualization libraries (D3.js, Recharts, ECharts)
  • Understanding of edge computing: NVIDIA Jetson, industrial gateways
  • Experience with 3D visualization (Three.js) for robot status monitoring
  • Security certifications or experience with compliance frameworks (SOC 2)
What we offer:
  • Equity
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays

Additional Information:

Job Posted:
January 31, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
1X Technologies - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Full Stack Engineer, Manufacturing Data Platform

Senior Data and Application Engineer

The Senior Data and Application Engineer will participate and provide engineerin...
Location
Location
United States , St. Inigoes
Salary
Salary:
150000.00 - 225000.00 USD / Year
kairosinc.net Logo
KAIROS Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expert level experience in DoD NIPR, SIPR, and/or JWICS platform engineering processes
  • Databricks, Foundry, Qlik, Tableau, Python, SQL, PySpark, Databricks, and other data, software, and application development capabilities
  • Excellent project management skills, with the ability to manage cross-functional teams
  • Strong communication and interpersonal skills, capable of leading technical discussions and driving alignment across teams
  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues in a fast-paced environment
  • Strong customer relations, analytics, documentation skills
  • Self-starter, highly motivated, strong work ethic with a commitment to quality
  • Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
  • Ability to work within a challenging, fast-paced, team-oriented environment
  • Ability to work independently
Job Responsibility
Job Responsibility
  • Data and application engineering using existing enterprise architecture: Provide data engineering, data automation, and automated data mapping capabilities that will be used to power a series of software applications
  • Provide application engineering support necessary to deliver enterprise applications and required data analytics to achieve customer decision advantage
  • Deliver secure, scalable, and modular platform architecture that is optimized for DoD enterprise data automation, AI model deployment, and continuous feature updates across a global network of priority data platforms and/or customer-owned systems
  • Drive process standardization and platform improvements based on data analytics, performance metrics, and industry best practices
  • Technology Leadership: Lead multi-disciplinary hardware, software, AI, and data engineering teams focused on delivering capabilities and features described on the latest KAIROS EPAD technology roadmap
  • Recommend and implement cutting-edge technologies and methodologies to improve KAIROS data automation processes and platform capabilities
  • Process Optimization and Automation: Identify areas for process improvement, focusing on automation powered by optimized software applications and data automation capabilities across all KAIROS technology stack components
  • Continuously innovate new software application data engineering, and AI capabilities focused on delivering a seamless, secure, scalable, and cost-effective suite of KAIROS software and data automation products
  • Cross-Functional Collaboration: Collaborate with engineering, manufacturing, and product teams to ensure successful design and implementation of enterprise platform and data-automation solutions across various applications
  • Work closely with supply chain and operations teams to ensure material availability, cost efficiency, and process sustainability
What we offer
What we offer
  • Medical Coverage
  • Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
  • Health Savings Account with Contribution by Employer
  • 401K Plan with Employer Matching
  • Annual Discretionary Bonuses
  • Paid Time Off
  • Eleven (11) Paid Holidays
  • Certification reimbursement program
  • Tuition Reimbursement Program
  • Paid Parental Leave
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer

Camio uses existing cameras and AI to enable software solutions in every industr...
Location
Location
Salary
Salary:
Not provided
camio.com Logo
Camiolog
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Full-stack generalist who can architect solutions, write integration code, debug deployment issues, and optimize database queries
  • Thrives with autonomy in ambiguity, translating customer outcomes into technical solutions without constant direction
  • Product intuition to distinguish between custom solutions and platform features
  • Can explain technical tradeoffs to executives, debug with IT teams, and present ROI to procurement
  • Commercial instincts to recognize revenue opportunities and frame expansion opportunities to stakeholders
  • Comfortable working with Python, containerized services, cloud-native architectures, and modern integration frameworks
Job Responsibility
Job Responsibility
  • Embed directly with strategic customers to deploy Camio platform into complex environments, write production code to bridge gaps, and solve high-stakes challenges where standard solutions fail
  • Act as the technical face of Camio and the customer's most trusted partner at the intersection of product engineering, technical consulting, and business strategy
  • Embed & Execute: Integrate closely with customer teams to deploy Camio’s platform. You will act as Camio’s primary technical representative to the customer, working closely with their teams to ensure successful deployment, navigating infrastructure, security constraints, and unique workflows to ensure our technology delivers immediate value
  • Code for Production: This is an engineering role. You will write robust, scalable code (Python, Kubernetes, or similar tools) to build custom integrations, data pipelines, and extensions that make our platform work in the customer's specific environment
  • The Strategic Bridge: Act as the bi-directional link between the field and HQ. You will translate customer friction points into technical specifications for our Product team, ensuring that today’s bespoke solutions become tomorrow’s core features
  • Solve the 'Last Mile': Take ownership of the technical success of the engagement. From architecture design to final implementation, you ensure the solution actually solves the business problem, not just the technical one
  • Fulltime
Read More
Arrow Right

Senior Technical Product Marketing Manager

The Senior Technical Product Marketing Manager ( Integrated Solutions ) leads te...
Location
Location
United States , Austin
Salary
Salary:
156480.00 - 234720.00 USD / Year
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Senior level, technical experience over years in technical product marketing, solution marketing, or GTM programs in enterprise infrastructure, AI platforms, data center systems, or semiconductors
  • Deep technical knowledge of enterprise servers, accelerators/GPU platforms, HPC workloads, and system‑level integration (networking, storage)
  • Strong understanding of competitive data center ecosystems and positioning
  • Proven success leading complex cross‑functional marketing programs end‑to‑end
  • Ability to simplify and communicate technical depth as compelling customer value
  • Experience linking marketing investment to measurable business outcomes
  • Experience launching AI systems or full‑stack data center platforms
  • Background working with performance engineering or benchmarking teams
  • Vertical industry solution marketing experience
  • Bachelor’s degree in Engineering, Computer Science, Marketing, or related field desired
Job Responsibility
Job Responsibility
  • Lead end‑to‑end GTM programs for AMD Integrated System Solutions, including AI systems and enterprise solution stacks
  • Drive program strategy, prioritization, budget planning, execution, and ROI measurement
  • Convert platform and solution strategy into scalable GTM motions across industries and workloads
  • Coordinate with Product Management, Engineering, Sales, and Corporate Marketing for integrated execution
  • Own technical marketing programs for AI systems launches, including platform architecture, performance, TCO, and scalability positioning
  • Develop workload‑specific narratives spanning AI training, inference, HPC‑AI convergence, and analytics
  • Build vertical solution motions across industries such as financial services, healthcare, manufacturing, research, telecom, and cloud service providers
  • Partner with Engineering and Product Management to define benchmark requirements and interpret performance data for GTM use
  • Develop differentiated technical storytelling grounded in AI performance, HPC workloads, virtualization, analytics, and hybrid cloud usage
  • Explain system‑level design considerations, performance drivers, and architectural tradeoffs
  • Fulltime
Read More
Arrow Right

Production Software Engineer

As a Production Software Engineer, you will play a critical role in transitionin...
Location
Location
United States , Palo Alto
Salary
Salary:
Not provided
1x.tech Logo
1X Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience transitioning engineering systems into manufacturing environments
  • Full-stack engineering mindset with ability to work across embedded, application, and backend layers
  • Deep hands-on experience with embedded systems and deployment across varied interfaces
  • Proficiency in C++ and Python for production, testing, and automation
  • Familiarity with NVIDIA Jetson platforms
  • Strong understanding of physical-layer communications, including SPI, I2C, UART, USB, CAN, EtherCAT, Ethernet, and RS-485
  • Practical knowledge of signal integrity, SNR, baud rates, and real-world communication limitations
  • Experience with cameras, MIPI interfaces, and calibration workflows
  • Comfortable working with complex robotic systems involving multiple PCBAs and subsystems
  • Strong grasp of quality systems, root-cause analysis, and failure diagnostics
Job Responsibility
Job Responsibility
  • Triage and debug robot issues on the factory floor across electronics, firmware, middleware, and mechanical components
  • Develop and maintain software for manufacturing test, calibration, validation, and system bring-up
  • Design and implement robot self-test frameworks for end-of-line and end-of-day validation
  • Build structured diagnostics and error reporting systems to enable rapid root-cause analysis
  • Translate engineering prototypes into robust, production-ready processes and tools
  • Own and evolve test software across various robot subsystems, PCBAs, and sensors
  • Support bootloaders, OTA flows, versioning, and traceability in distributed robot subsystems
  • Collaborate with Manufacturing, Controls, and Systems teams to improve yield, reliability, and throughput
  • Contribute to a modern Manufacturing Software stack, including: Factory station software and hardware abstraction layers
  • Integrations with MES, logging, and traceability systems
What we offer
What we offer
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays
Read More
Arrow Right

Senior Consultant - Full Stack Apps A2

Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of overall professional experience in software engineering, application development, and solution delivery, with a strong focus on enterprise-scale, customer-facing engagements
  • 5+ years of experience in customer-facing delivery leadership
  • Bachelor's degree in computer science engineering, or a related field
  • Microsoft and cloud technology certifications are preferred, including but not limited to: AZ-204 (Developing Solutions for Microsoft Azure), AI-102 (Designing and Implementing an Azure AI Solution), MCSD / MCSE or equivalent modern cloud and AI certifications
  • Strong experience designing, building, and deploying business- and mission-critical applications using .NET (C#), .NET Web APIs, Node.js
  • Full-stack development expertise across UI, API, service, domain, data, and integration layers, with proficiency in C#, JavaScript, TypeScript, Angular or React, HTML5, and CSS/SCSS
  • Deep understanding of software architecture patterns and anti-patterns for large-scale systems, including MVC, CQRS, and Saga, with a focus on performance, scalability, and resiliency
  • Excellent foundation in software engineering principles, data structures, algorithms, testing, debugging, and analytical problem-solving
  • Proficiency with cloud data platforms including Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, Azure SQL Managed Instance, and MariaDB
  • Experience creating reusable application frameworks and shared components that address cross-cutting concerns such as logging, security, resiliency, and configuration management
Job Responsibility
Job Responsibility
  • Lead the technical delivery of complex, cloud-native and AI-enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes
  • Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, and aligned to business objectives, architectural best practices, and Microsoft reference architectures
  • Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies
  • Applies user-centered design principles to translate customer needs into clear technical requirements and scalable solution designs through iterative prototyping and feedback
  • Provide delivery leadership by setting technical priorities, estimating effort, managing dependencies, making disciplined trade-offs, and driving successful releases
  • Ensure engineering excellence and solution quality, with accountability for the overall efficacy, performance, security, and compliance of technical delivery within assigned engagements
  • Identify, assess, and manage technical risks and dependencies across projects, including defining mitigation strategies, handling escalations, and planning for both short- and long-term delivery risks
  • Apply information security, compliance, and assurance standards to maintain stakeholder confidence and meet customer, regulatory, and Microsoft governance requirements
  • Drive innovation and digital transformation, leveraging existing intellectual property (IP), reusable assets, and best practices to improve delivery predictability and speed
  • Collaborate with cross-functional teams, including Sales, account-aligned teams, and peers, to articulate technical value propositions and support the expansion and adoption of Microsoft cloud and AI solutions with strategic customers
  • Fulltime
Read More
Arrow Right
New

Software Dev. Sr. Specialist Advisor

The AI Architect will design and build agentic AI systems for multiple Domains s...
Location
Location
Canada , Toronto
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years’ experience using Python-based AI systems
  • 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
  • Experience with traditional ML (classification, regression, NLP, time-series)
  • Full-stack experience (API design + UI integration) - 5+ Years
  • Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
  • Experience working in regulated or compliance-heavy domains
  • Comfortable working with subject-matter experts
  • Strong learning mindset and adaptability
  • Experience building production AI systems, not just prototypes
  • Ability to explain AI decisions to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Design and implement agent-based AI workflows for different domains such as healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
  • Design agentic AI architectures for manufacturing workflows
  • Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
  • Implement RAG over financial documents, policies, contracts, and filings
  • Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
  • Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
  • Implement HIPAA aware AI architectures with auditability and traceability
  • Implement GenAI systems using RAG over CRM, customer data, and content
  • Build full-stack applications (Python APIs, AI services, UI dashboards)
  • Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
Read More
Arrow Right
New

Systems Integration Specialist Advisor

The Systems Integration Specialist Advisor role at NTT DATA involves designing a...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years’ experience using Python-based AI systems
  • 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
  • Experience with traditional ML (classification, regression, NLP, time-series)
  • Full-stack experience (API design + UI integration) - 5+ Years
  • Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
  • Experience working in regulated or compliance-heavy domains
  • Comfortable working with subject-matter experts
  • Strong learning mindset and adaptability
  • Experience building production AI systems, not just prototypes
  • Ability to explain AI decisions to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Design and implement agent-based AI workflows for different domains such as healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
  • Design agentic AI architectures for manufacturing workflows
  • Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
  • Implement RAG over financial documents, policies, contracts, and filings
  • Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
  • Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
  • Implement HIPAA aware AI architectures with auditability and traceability
  • Implement GenAI systems using RAG over CRM, customer data, and content
  • Build full-stack applications (Python APIs, AI services, UI dashboards)
  • Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
  • Fulltime
Read More
Arrow Right

Software Development Senior Specialist Advisor

The Software Development Senior Specialist Advisor role involves designing and i...
Location
Location
Canada , Toronto
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years’ experience using Python-based AI systems
  • 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
  • Experience with traditional ML (classification, regression, NLP, time-series)
  • Full-stack experience (API design + UI integration) - 5+ Years
  • Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
  • Experience working in regulated or compliance-heavy domains
  • Comfortable working with subject-matter experts
  • Strong learning mindset and adaptability
  • Experience building production AI systems, not just prototypes
  • Ability to explain AI decisions to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Design and implement agent-based AI workflows for different domains such as: healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
  • Design agentic AI architectures for manufacturing workflows
  • Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
  • Implement RAG over financial documents, policies, contracts, and filings
  • Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
  • Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
  • Implement HIPAA aware AI architectures with auditability and traceability
  • Implement GenAI systems using RAG over CRM, customer data, and content
  • Build full-stack applications (Python APIs, AI services, UI dashboards)
  • Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
Read More
Arrow Right