Engineering Journal Thailand Jobs in Hayward, CA

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

About the Company

Our values start with our people, join a team that values you! Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience. Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2023 revenues of $20.4 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams.

About the Role

The Strategic Sourcing Manager will lead strategic Industrial Construction and Facilities Engineering sourcing projects for new and existing sites across Ross' supply chain network. Their primary goals will be to help Ross mitigate risks, procure materials, equipment and services at the best value and be a strategic advisor to internal stakeholders.

Responsibilities

• Drive Strategic Sourcing and Sourcing Process Execution
• Develop and implement sourcing strategies for Industrial Construction categories (e.g., steel structures, concrete, MEP systems, site services, etc.) and Facilities Maintenance categories (e.g., conveyor systems, fork trucks, racking, etc.). Analyze historical data to determine the highest risk and cost categories.
• Partner with Property Development, Engineering, Project Management, Legal, Risk Management and Finance teams to understand project needs. Manage expectations and set achievable milestones to arrive at the agreed upon goal.
• Develop and manage sourcing project timelines and lead socialization meetings. Update stakeholders regularly on project progress, risks and mitigation strategies.
• Identify, evaluate, and onboard qualified suppliers and contractors. Build and maintain strong supplier relationships to ensure performance and compliance. Develop and monitor supplier KPIs, coordinate regular QBRs and Top to Top meetings.
• Support the budgeting process and develop bottoms-up (quantity based) estimates.
• Develop RFPs and vendor response comparison tools (quantitative and qualitative). Work with Property Development, Engineering, Loss Prevention, IT and Legal stakeholders to understand requirements to be included in the RFP packages.
• Manage competitive events or sourcing process end to end with minimal supervision. This would include market research, RFP development, internal and external communication management, stakeholder alignment, etc.
• Conduct detailed market and vendor research to communicate findings through research summaries. Evaluate vendor core competencies and competitive positioning using open-source data and industry benchmarks.
• Proactively identify alternate sourcing opportunities across multiple Construction and Facilities Engineering material, equipment, parts and service categories. Analyze market trends and cost drivers to inform sourcing decisions.
• Drive cost savings initiatives through value engineering, competitive bidding, and strategic negotiations.
• Create presentations to communicate findings and vendor recommendations to stakeholders, to help with decision making.
• Serve as an escalation channel for internal stakeholders, to improve vendor service levels. Maximize Ross' position of leverage in any negotiation scenario.
• Support the Facilities Engineering team with sourcing requirements for Material Handling Equipment (MHE) repair, refurbishment and replacement.

Qualifications

• BA/BS in Supply Chain, Construction Management, Business, Economics, Finance or Engineering (MBA or advanced degree preferred).
• Minimum of 5 years category management / strategic sourcing experience in Industrial Construction and Facilities Engineering. Multiple Construction and Engineering sourcing category experience preferred.
• Minimum of 5 years of program or project management experience in a cross functional environment (technical and non-technical teams).
• Strong knowledge of corporate finance - budgeting, cash flow, P/L statements, balance sheets.
• Strong experience with construction cost estimating and budgeting as well as working with raw material / market indices and determining fair purchase prices.
• Proficient in reading and interpreting construction drawings and specifications.
• Experience with Construction Management Software such as Procore, as well as Sourcing / Contract Management Software such as Coupa.
• Familiarity with LEED, OSHA, and other regulatory frameworks.
• Certifications preferred - CCPS, CCM, CPSM.
• Consulting experience strongly preferred; experience in retail is a plus.
• Proficiency with contract writing and management strongly preferred.
• Knowledge of DC Operations (e.g. Receiving, Sorting, VAS, Pick/Pack, Shipping).
• Strong Excel (Pivots, VLookups, Data Tables) and PowerPoint skills.
• Experience in working with raw material / market indices and determining fair purchase prices.
• Must have a data driven approach to solving problems.
• Must be inquisitive to learn the business and "ways of working" before recommending improvements.
• Requires very strong quantitative skills and experience structuring ambiguous problems.
• Must have very close attention to detail and the drive to achieve accurate results with minimal supervision. Must evaluate all vendor material and contracts with a critical eye to identify risks to Ross.
• Must be able to multi-task, prioritize, work independently and keep a high level of focus.
• Must be able to listen, understand, and communicate with employees at all levels of the company. Requires strong written and verbal business communication skills.
• Needs to be able to build effective working relationships within Ross and drive continuous improvement.

Required Skills

• Strong project management, communication and prioritization skills.
• Deep industry knowledge and strong negotiation skills.
• Ability to operate at both the tactical and strategic levels of the organization.

Preferred Skills

• Experience in retail.
• Consulting experience.

Pay range and compensation package

The base salary range for this role is $108,800 - $165,950. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location.

Equal Opportunity Statement

This job description is a summary of the primary duties and responsibilities of the job and position.

Title: Engineering technician/ Equipment technician

Work Location: Fremont, CA 94538

Duration: 12 Months

Job Type: Temporary Assignment

Work Type: Onsite

Shift: Grave shift 10:30pm-6:30am

Pay rate: $3 /hr.

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Description:

We are seeking a person capable of running an Intevac 200L sputter machine in a proficient manner to fulfill the requests for the Media Development Engineering organization. Tasks and duties will include processing experiments precisely as documented or requested by the Engineering staff. Requirements are to work in class 10 /100 cleanroom environment, follow all procedures and protocols, follow instructions well, provide feedback to coworkers/leads in a constructive/positive manner, provide technical support and suggestions to Engineering, run sputter machines efficiently and effectively, collect sputter related data on metrology tools, maintain excellent documentation, work collaboratively in a team environment to help exceed goals. These items listed below CAN be trained.

Pilot Line Operations includes - processing of the media through various media processes and equipment which includes but is not limited to the following:

• Processing of experiments for the Engineering team - processing discs through the various tools, measurement of the media, data entry, and feedback to engineering and management of the results.
• Work inside of a cleanroom - 100% PPE suits from head to toe with masks and safety glasses are required.
• Job requires a good amount of movement (walking - 50% depending on the job) to retrieve parts from point A to point B in many cases.
• Reaching is required in many cases to load and unload products onto racks, machines, etc., typically ranging from 24 inches to 53 inches not exceeding 10lbs.
• Many cases cart is provided for the transport of product, but hand carrying of product/material is required majority of the time as well.
• Computer skills are required in all the areas since the machines and the processes require computer and software interface. Interaction with Engineering is required via email, phone and excellent understanding and communication skills are required. Comprehension of correct recipes, file savings, instructions are followed precisely. Detailed use of excel is a must and understanding of Windows.
• Job requires stepping onto step stools to reach platforms for the processing of parts, as well as bending/kneeling in tight spaces for access to back of tools for process checks.
• Manual dexterity is needed in some areas to perform tape changes, adjustments based upon data received from Engineering or checklists. MDW process requires detailed manual dexterity with ESD sensitive parts and miniature assembly.
• Many of the jobs require cross training to be able to utilize the employees efficiently for planning purposes and downtime in areas.
• Saturday workday is required and part of their schedule in many cases and overtime is required.
• Must be able to focus, excellent attendance, comprehension, enthusiastic in performing their jobs, communicate detailed information well, pay attention to details, and have a good attitude and work ethics, and a true team player in getting tasks at hand completed in a timely manner.

Required qualifications:

• No previous experience required – on the job training will be provided
• Proficient computer skills (Microsoft Office – email, basic Excel, Word, and PowerPoint)
• Excellent communication skills
• Professional, reliable, responsible, dependable, etc

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

VP of Engineering

AI-Driven Marketing Orchestration Platform

Overview

Our client is building an AI-native marketing orchestration platform designed to optimize creative generation, media spend, and performance through multi-agent systems. The platform will initially power a portfolio of marketing agencies and evolve into a standalone SaaS business. This is a foundational engineering leadership role.

Core Mandate

Build and ship a production-grade AI platform that:

• Reliably manages multi-agent workflows
• Handles enterprise-scale marketing spend
• Iterates rapidly based on real customer feedback
• Balances speed with system reliability

What Success Looks Like (First 12 Months)

• Working production system used by real customers
• Reliable multi-agent workflows (no catastrophic failure modes)
• High iteration velocity (weekly / bi-weekly shipping cadence)
• Strong early engineering team (5–8 people)
• Clear product traction and engagement

Key Responsibilities

Architecture & Systems

• Design and build multi-agent orchestration systems
• Ensure reliability in probabilistic workflows (failure handling, guardrails)
• Own backend architecture, data pipelines, and integrations (ad platforms, CRM, analytics)
• Implement observability, monitoring, and cost controls

Hands-On Development

• Write production code daily in early stages
• Review and improve code from team
• Guide AI-assisted development workflows (Cursor, Claude, etc.)
• Ensure code quality and security

Product & Iteration

• Work directly with customers to refine product
• Ship quickly and iterate based on feedback
• Balance MVP speed with enterprise reliability

Team Leadership

• Hire and lead a small elite engineering team
• Set engineering standards and velocity
• Mentor developers and enforce accountability

Required Experience

• Experience building ad tech or marketing technology systems
• Experience deploying AI / LLM systems to production
• Experience with multi-agent or orchestration workflows
• Strong backend / distributed systems experience
• Experience leading engineering teams (5–20 people)
• Must be hands-on and capable of coding

Preferred Background

• AI-native SaaS or adtech companies
• Experience at high-growth startups

Key Traits

• Builder mindset (not a pure manager)
• High technical rigor
• Mentally flexible (not dogmatic about tools)
• Customer-focused
• Moves fast but cares about quality

Location

• Preferred: New York or Los Angeles
• Open: SF or remote for exceptional candidates

Job Description:

Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)

Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO

Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise

Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.

Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.

Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.

Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.

Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.

Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)

Must know how to work with the Dev team, cross functional teams.

Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and client leaders.

Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.

Preferred:

Be a client face at customer site collaborating with client leadership.

Ability to clearly communicate and understand a technical idea/concept.

Ability to work in a professional environment while interacting with peers and stakeholders, collaborating with offshore teams.

Excellent written and verbal communications skills.

Motivated, goal driven, influential, innovative, curious, and open minded, fun to work with, collaborator.

Capability to work with people in different time zones.

Ability to operate in a fast-paced, evolving environment and appropriately prioritize tasks, and keep abreast of the latest technology.

Collaborate with cloud architecture, infrastructure team, project management team, and technology services, management team.

Create and maintain detailed documentation.

Title: Sr. Mechanical Design Engineer, Exteriors

Location: Fremont, CA

What to Expect

As a Mechanical Design Engineer of the Exterior Engineering Team, you will be responsible to design, prototype, validate, release, and launch components for current and future vehicle programs.

Exteriors covers a diverse family of components including Front & Rear Fascia Assemblies, Underbody, Underhood and other trim components.

You will be part of the team working on complex exterior vehicle systems in terms of styling, function, and quality. You will utilize your expertise in one or more of these commodities and develop as a vehicle engineer, designing and delivering components and exterior systems.

You will collaborate and work cross functionally with many other Vehicle Engineering teams to develop parts and assemblies from the concept phase to launching.

You will be part of Tesla's Vehicle Engineering organization reporting to the Manager of Exterior Engineering Team.

What You'll Do:

• Concept engineering and feasibility
• Packaging and layout within vehicle architecture
• Design to deliver customer-driven exterior system targets for craftsmanship, function, cost, and weight
• Participate in the iterative process with the Tesla design/styling studio to deliver the optimal balance of form vs. function vs. cost
• Detail design including surface development, structures, datum strategy, attachments, GD&T
• Utilize DFSS methodologies as appropriate during the design, validation and launch of the program
• Interpret CAE simulation results and integrate recommendations into product design
• Collaborate with key suppliers for DFM, MoldFlow and tooling design approvals supporting injection trials for part appearance and functional validation
• Work with plastics engineering to improve designs for optimum layout of plastic assembling and paint lines
• Collaborate with cross-functional teams within the Tesla Vehicle Engineering, Manufacturing Engineering and Procurement groups to ensure system manufacturing, assembly feasibility and serviceability

What You'll Bring:

• Bachelor's Degree in Mechanical Engineering or equivalent experience
• Catia V5/V6 experience is preferred. Experience and proven expertise using other CAD software are acceptable
• Strong understanding of mechanical engineering fundamentals
• Basic knowledge of large plastic part design, plastic painting, injection molding and processing
• Evidence of following the design process from initial concept stages through tooling release and production launch
• Experience managing suppliers for product development
• Exposure to a mix of design challenges for variety of materials and processes such as stamping, injection molding, casting, composites
• Understanding the fundamental differences in design and engineering between low and high-volume production, as well as entry and premium vehicle requirements
• Experience with DFSS methodologies during the design, validation and launch of automotive programs
• Familiarity with the development of specifications, DFMEAs, DVP&R's and other technical documents

A fast-growing robotics company is building autonomous systems designed to automate repetitive tasks within the global infrastructure and construction sector. The company’s mission is to help address workforce shortages while accelerating the development of critical infrastructure projects.

Their robotics platforms combine advanced autonomous navigation, cloud software, and intelligent field tools to improve precision and efficiency across construction environments. With a growing fleet of robots already deployed across multiple project sites globally, the company is developing the next generation of automation tools used in areas such as infrastructure development, surveying, energy projects, and large-scale construction.

The company is seeking a Full-stack Developer to design and maintain the software systems that power its robotics ecosystem — including operator dashboards, cloud infrastructure, and applications that interface with robots operating in the field.

This role will contribute to building reliable tools for mission planning, fleet monitoring, and communication between cloud systems and robotic platforms. The position involves close collaboration with robotics engineers, field operations teams, and product stakeholders to ensure the software delivers measurable impact in real-world environments.

Key Responsibilities

• Design and develop full-stack applications for device management, mission control, and fleet coordination.
• Build and maintain mobile applications used by field operators.
• Develop desktop applications used to interface with robotic systems.
• Create web dashboards and APIs for mission planning, telemetry visualization, and operational data analysis.
• Integrate cloud infrastructure for data storage, monitoring, and deployment.
• Ensure reliable communication between cloud services and deployed robotic systems.
• Collaborate with robotics, product, and field teams to deliver integrated software functionality.
• Write technical documentation for APIs, system architecture, and software modules.
• Optimize systems for scalability, reliability, and performance in field environments.
• Requirements
• Education
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Experience

• 4+ years of professional full-stack development experience.
• Strong experience with JavaScript / TypeScript using modern frameworks such as React, Next.js, and Node.js.
• Strong UI/UX development experience using modern CSS frameworks.
• Experience building mobile applications using React Native.
• Experience developing cross-platform desktop applications.
• Production experience with cloud platforms such as AWS including APIs, storage, and deployment pipelines.
• Strong understanding of software architecture, testing methodologies, and performance optimization.
• Proficiency with development tools including Git, issue tracking systems, and CI/CD pipelines.

Soft Skills

• Strong analytical and problem-solving ability.
• Ability to collaborate effectively in a fast-paced engineering environment.
• Strong ownership mindset and communication skills.
• Preferred Qualifications
• Experience working with robotics systems or robotics middleware.
• Familiarity with real-time communication protocols such as WebSockets or MQTT.
• Experience working with IoT devices, connected hardware, or industrial systems.
• Experience working with performance-sensitive or multi-threaded applications.
• Experience with containerization technologies such as Docker or Kubernetes.