test and evaluation engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skill</div><br>
<div><br>
</div><div>Role Summary
</div><div>Tests AI model outputs and application functionality. Validates data accuracy, business logic and system performance.
</div><div>Key Responsibilities
</div><ul><li>Design and execute test plans covering AI model outputs, data correctness, and application functionality.
</li></ul><ul><li>Create automated tests for APIs and UI where appropriate; maintain regression suites.
</li></ul><ul><li>Validate business logic, edge cases, and non-functional requirements (performance, reliability).
</li></ul><ul><li>Establish evaluation criteria for AI components (accuracy, hallucination checks, guardrail adherence).
</li></ul><ul><li>Triage defects, document reproducible steps, and partner with engineers to resolve issues.
</li></ul><ul><li>Contribute to release readiness, quality gates, and continuous improvement of testing practices.
</li></ul><div>Required Qualifications
</div><ul><li>3+ years in QA/Test Engineering for web/services-based applications.
</li></ul><ul><li>Experience with test automation tools (Selenium) and API testing (Postman or similar).
</li></ul><ul><li>Strong understanding of test case design, defect lifecycle, and agile QA practices.
</li></ul><ul><li>Familiarity with tracking tools (JIRA) and test documentation.
</li></ul><ul><li>Ability to reason about data quality and validate outputs against requirements.
</li></ul><div>Preferred / Nice to Have
</div><ul><li>Experience testing ML/LLM systems: evaluation datasets, prompt regressions, safety checks.
</li></ul><ul><li>Performance testing experience (load, stress) and observability basics.
</li></ul><ul><li>Knowledge of accessibility testing for UI.</li></ul><div><br>
</div>
<div></div><br>
<div>Core Skills (from POD sheet)</div><br>
<div><br>
</div><div>Selenium, Postman, Test Cases, JIRA, Manual Testing</div><div></div><div><br>
</div><div></div><br>
<div>Salary Range $100,000-$120,000Per year
</div>
<div></div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
</div>
<div></div><div>#LI-SP1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Minnetonka, MN</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>407073</div>
</div><div><div><b>Desired Skills</b></div>
<div>Manual Testing</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Test Engineer

Faze 3 Consulting

<p><b>AI/ML/DevOps Engineer</b></p><p><b>Own the MLOps platform that powers enterprise AI at scale.</b></p><p>A leading Abu Dhabi-based holding group is hiring an <b>AI/ML/DevOps Engineer</b> to architect, operate, and continuously improve the end-to-end MLOps and LLMOps platform for a flagship enterprise AI programme. You'll be the technical authority reviewing, governing, and signing off CI/CD, data and model pipelines, infrastructure, deployment, security, and observability &mdash; ensuring secure, scalable, and compliant delivery across environments. Reports to the AI Product Manager within the AI Excellence Centre.</p><p><b>What you'll own:</b></p><ul><li>Own the end-to-end MLOps/LLMOps reference architecture: ingestion &rarr; validation &rarr; feature and embedding pipelines &rarr; training and fine-tuning &rarr; evaluation &rarr; registry &rarr; deployment &rarr; monitoring &mdash; including RAG and agentic workflows.</li><li>Architect, review, and approve CI/CD for ML and LLM systems: code, data, prompt, and model artifact versioning; build and release pipelines (Azure DevOps / GitHub Actions); automated unit, integration, and contract testing; and promotion/rollback (blue-green / canary) across dev, test, and production.</li><li>Define and govern AI platform foundations on Azure: IaC (Bicep/Terraform), AML workspaces, AKS GPU node pools and scheduling, private networking (VNet integration / Private Link), identity (Managed Identities / PIM), secrets (Key Vault), and encryption and data residency controls.</li><li>Review and approve production deployment patterns for model and LLM serving (AKS / KServe / AML online endpoints), including containerization, inference optimization (batching, quantization where applicable), API management, autoscaling, resiliency, and RAG runtime components (vector store, retriever, re-ranker, cache).</li><li>Own observability and reliability for AI services: OpenTelemetry tracing, prompt and inference logs (with PII controls), latency/throughput/cost metrics, SLOs/SLIs, model performance monitoring, data and model drift detection, and LLM evaluations (quality, hallucination checks, toxicity and safety guardrails) with incident playbooks.</li><li>Establish and enforce MLOps/LLMOps governance: dataset lineage, data quality validation (schema and tests), feature store and model registry standards, artifact provenance (SBOM/SLSA), vulnerability scanning, approval gates for model and prompt releases, and compliance-aligned documentation for model risk (intended use, limitations, evaluation results).</li><li>Enable delivery squads &mdash; including the primary delivery partner &mdash; with &quot;golden path&quot; templates (AML pipelines, RAG blueprints, evaluation harnesses), reusable IaC modules, and coding standards; run deep technical design and architecture reviews and sign off production readiness (capacity, security, observability, DR) for all AI releases.</li><li>Support the Run &amp; Operate model by enabling issue triage and minor enhancement workflows (ticket intake &rarr; fix &rarr; controlled release), ensuring changes follow the same release governance and quality gates.</li><li>Own the Operational Acceptance Gate: no production release without runbooks, monitoring dashboards, incident playbooks, access model, and DR test evidence.</li></ul><p><b>Scope clarity:</b> you provide platform standards, review, and sign-off &mdash; you do not replace the delivery partner's engineering, but you enforce the &quot;golden path&quot; and production readiness bar.</p><p><b>What you bring:</b></p><ul><li>8&ndash;10 years across DevOps, SRE, and/or ML Engineering with production systems on Azure.</li><li>Hands-on experience with Azure ML, AKS, Azure DevOps or GitHub Actions, IaC, and containerization.</li><li>Bachelor's in Computer Science, Engineering, or equivalent experience.</li></ul><p><b>Core skills required:</b></p><ul><li>Python, YAML, Docker, Helm, KQL; GitOps (Argo/Flux) awareness.</li><li>Security in CI/CD: SAST/DAST, supply-chain security (Sigstore), secrets management (Key Vault).</li><li>Performance testing (k6 / JMeter), contract testing, and E2E testing.</li><li>Cost optimization and capacity planning for GPU and CPU workloads.</li><li>Strong grasp of model serving, inference optimization, and observability tooling.</li></ul><p><b>Required certification:</b></p><ul><li>Microsoft Certified: DevOps Engineer Expert (AZ-400)</li></ul><p><b>Preferred certifications:</b></p><ul><li>Microsoft Certified: Azure Administrator (AZ-104) or Solutions Architect (AZ-305)</li><li>CKA or CKAD (Kubernetes)</li></ul><p><b>Location: </b>Abu Dhabi, UAE</p><p><b>Employment Type: </b>Permanent, Full-time</p><p><b>Experience: </b>8&ndash;10 years</p><p><b>Salary Range: </b>25,000 - 33,000 (AED per month)</p><p>Pay: AED25,000.00 - AED33,000.00 per month</p><p>Work Location: In person</p>

AI/ML/DevOps Engineer

Doha Petroleum Construction Co. W.L.L

<div>
 <p>
  <strong>
   QA/QC Engineer - Procurement
  </strong>
 </p>
 <p>
  <strong>
   Full Time / Permanent Position
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <ul>
  <li>
   The Procurement QA/QC Engineer is responsible for ensuring the quality and compliance of all procurement activities and materials.
  </li>
  <li>
   This involves monitoring subcontractor and supplier quality systems, conducting audits, and reviewing inspection and testing records to ensure standards are maintained throughout the procurement process.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Key Accountabilities
  </strong>
 </p>
 <ul>
  <li>
   QMS Implementation: Assist in operating and maintaining the Quality Management System (QMS) according to ISO 9001 and contract specifications.
  </li>
  <li>
   Documentation: Develop and monitor procurement-specific procedures, work instructions, and Quality Control Plans (QCP) or Inspection Test Plans (ITP).
  </li>
  <li>
   Auditing: Lead internal and external audits of supplier quality systems and follow up on corrective actions.
  </li>
  <li>
   Technical Evaluation: Participate in the vendor qualification process, including Technical Bid Evaluations (TBEs) and reviewing Request for Quotation (RFQ) packages.
  </li>
  <li>
   Inspection Coordination: Coordinate supplier inspections, verify raw material and product certifications, and review manufacturing data books.
  </li>
  <li>
   Reporting: Maintain quality KPI reporting matrices and report directly to the Project QA/QC Manager.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Candidate Requirements
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Minimum Requirement: Bachelor's degree in Engineering (Mechanical, Civil, Electrical, or Instrumentation).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications Required:
  </strong>
 </p>
 <ul>
  <li>
   Lead Auditor ISO 9001:2015
  </li>
  <li>
   ASNT NDT Level II (RT, UT, PT, MT)
  </li>
  <li>
   CSWIP 3.2
  </li>
  <li>
   BGas Grade 2
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   Specific Experience Required: At least 10 years of work experience in QA/QC Engineering related to EPIC projects in the Oil &amp; Gas industry.
  </li>
  <li>
   Preferred Experience: 12+ years total experience, with 2+ years specifically as a Procurement QA/QC Engineer.
  </li>
  <li>
   Knowledge: Strong understanding of relevant industry codes and offshore project requirements.
  </li>
 </ul>
</div>


QAQC Engineer - Procurement

Smart Research System

<p><b>Senior Electrical Engineer</b></p><p><b>Arabic Speaker Only</b></p><p><b>Health Care Industry or Large Healthcare Organization</b></p><p>Abu Dhabi!! UAE</p><p>Q<b>ualifications, Certifications and Experience</b></p><p>Bachelor's degree or equivalent in Engineering or in a relevant technical discipline OR Diploma in relevant field with 3 years of additional experience</p><p>Master's degree or equivalent in Engineering or in a relevant technical discipline</p><p><b>Experience And Skills Required</b></p><p><b>4-6 years of relevant experience in a similar industry</b></p><p><b>Desired:</b></p><p>Experience in a large healthcare facility</p><p><b>Key Responsibilities of the role:</b></p><p>Supervising the planning and designing of all electrical works</p><p>Providing direction and guidance on any electrical system and/ or network design drawings</p><p>Providing advice on the type and arrangement of circuits, circuit-breakers, and equipment, based on calculations</p><p>Preparing and interpreting specifications, drawings and regulations for the use of electric power equipment</p><p>Overseeing delivery and installation schedules for machines, cables and fittings</p><p>Ensuring that completed works meet specifications and safety standards, contributing and adhering to the safety requirements of the operation</p><p>Assisting the Engineer in reviewing all electrical drawings submitted by contractors/ consultants</p><p>Managing and monitoring day to day activities:</p><p>Overseeing all activities relating to electrical works before, during and after the execution of the projects</p><p>Monitoring and ensuring that all works are carried out in accordance with the contract drawings, specification, instructions and programmers</p><p>Monitoring all planning, arrangement and control of material compliance testing/evaluation and ensuring relevant records are maintained</p><p>Planning and conducting regular record inspection and test activities for materials and workmanship</p><p>Approving and assisting the Engineer in resolving all recorded technical queries</p><p>Assisting and providing guidance to the Engineer in risk assessments</p><p>Pay: AED12,000.00 - AED15,000.00 per month</p><p>Work Location: In person</p>

Senior Electrical Engineer ( Healthcare) Arabic Speaker

SteerAI

<div>
 <p>
  <strong>
   About SteerAI
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI&rsquo;s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Autonomous Vehicle Operator to operate SteerAI&rsquo;s unmanned ground vehicle platforms during operational trial campaigns. This hands-on role involves operating vehicles through the Command and Control (C2) system and Fleet Management System (FMS), monitoring autonomous missions, supporting test execution, and performing field-level vehicle preparation
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Vehicle Operation:
   </strong>
   Operate Avs and other robots through the OCU/C2/FMS interface and remote control during tests and trials. Monitor autonomous mission execution and intervene when required, following established safety protocols.
  </li>
  <li>
   <strong>
    Pre-Mission Preparation:
   </strong>
   Execute field deployment checklists, run system health checks, verify sensor functionality, and confirm communication links. Ensure vehicles are trial-ready prior to each mission run.
  </li>
  <li>
   <strong>
    Real-Time Monitoring and Intervention:
   </strong>
   Monitor vehicle telemetry, autonomy state, and environmental conditions during missions. Execute emergency procedures (e-stop, return-to-base) when safety thresholds are reached.
  </li>
  <li>
   <strong>
    Data Collection and Instrumentation:
   </strong>
   Position and configure telemetry equipment, manage onboard recording systems, and verify data integrity post-mission. Support the Field Test Engineer in executing instrumentation plans and validating that data capture meets trial requirements.
  </li>
  <li>
   <strong>
    Maintenance and Troubleshooting:
   </strong>
   Perform field maintenance, troubleshoot hardware and software issues, and escalate technical problems to the engineering team. Maintain vehicle readiness between trial runs.
  </li>
  <li>
   <strong>
    Test Execution Support:
   </strong>
   Assist the Field Test Engineer with scenario setup, adherence to test procedures, and documentation of mission observations. Be prepared to take on basic test coordination duties when required, including running pre-briefed scenarios and recording results against success criteria.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Technical diploma or bachelor&rsquo;s degree in Robotics, Mechatronics, Electrical Engineering, Systems Engineering, or related field.
  </li>
  <li>
   4+ Experience operating unmanned ground or aerial vehicles, robotic systems, or remote-controlled platforms.
  </li>
  <li>
   Familiarity with autonomous vehicle systems, sensor suites (cameras, GNSS, lidar), and communication systems.
  </li>
  <li>
   Comfortable working in outdoor field environments in various weather conditions.
  </li>
  <li>
   Methodical approach to checklists, procedures, and safety protocols.
  </li>
  <li>
   Troubleshooting skills for electromechanical and software systems.
  </li>
  <li>
   Exposure to structured test procedures, checklists, or test and evaluation frameworks.
  </li>
  <li>
   Ability to document observations, log test results, and contribute to post-mission reporting.
  </li>
  <li>
   Valid driver&rsquo;s license.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry. Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth.
 </p>
 <p>
  If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!
 </p>
</div>


Autonomous Vehicle Operator , SteerAI

Cloud and Things

<div><i>Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector&rsquo;s IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things.?</i><br>
<br>
<b><i>*This is an exempt position. Salary </i></b><b>commensurate </b><b><i>with experience*</i></b><br>
<br>
<b>Overview:</b><br>
<b>Location: Hybrid &ndash; Albany, NY</b><br>
<b>Salary: $105,000 - $115,000</b><br>
<br>
We are seeking a <b>Automation Engineer</b> who will support our NYS client with critical system upgrades, modernization efforts, and Salesforce integration initiatives. This role is responsible for designing and implementing scalable automation solutions that improve quality, reliability, and compliance across the software development lifecycle. The ideal candidate will combine strong Salesforce platform knowledge with experience in automated testing, process optimization, and stakeholder collaboration.<br>
<br>
<b>Duties:
</b><ul><li>Design and implement sustainable, scalable automation solutions to meet and exceed organizational, program, and project quality objectives
</li><li>Discover and eliminate quality problems by gathering requirements and implementing automated process controls
</li><li>Create end-to-end automated scenario testing across systems, identifying risk areas and dependencies early in the development lifecycle
</li><li>Review business and technical requirements to define automation scope, test coverage, and validation strategies
</li><li>Develop comprehensive test strategies that address both functional and non-functional requirements
</li><li>Create and maintain key project deliverables ensuring final product quality and robust quality assurance/quality control (QA/QC) processes
</li><li>Support audit-friendly testing scenarios and compliance validation often required in public sector implementations
</li><li>Validate and execute automated test cases across platform standard functionality (workflow automation, validation rules, security models)
</li><li>Implement automated validation for specialized workflow components (OmniScripts, FlexCards, DataRaptors/DataMappers)
</li><li>When required, perform hands-on test preparation, execution, and automation across various products and testing frameworks
</li><li>Guide consultative engagements with stakeholders on their quality assurance and process automation challenges
</li><li>Act as automation domain lead by coordinating and aligning work of multiple internal and third-party QA resources
</li><li>Maintain close alignment with project and engagement managers to support planning and implementation in collaboration with immediate and extended teams
</li></ul><b>Mandatory Qualifications:</b>
<ul><li>Certifications:
<ul><li>Salesforce Certified Administrator
</li><li>Salesforce Certified App Builder
</li><li>Salesforce Certified Advanced Administrator
</li></ul></li><li>7+ years of experience working on complex projects with 2 or more years in a leadership role as a Automation Engineer
</li><li>3+ years of Salesforce development experience using various Salesforce products (e.g. Service Cloud, Data Cloud , CRM/Case Management etc).
</li><li>3+ years of experience in configuring and customizing Salesforce solutions using declarative tools (Flows, OmniStudio, Validation Rules) and Apex/LWC where needed to automate business process and case management processes.
</li><li>2+ years of experience in of platform data architecture (Objects, Relationships, Schema).
</li><li>2+ years of experience in security models (Profiles, Permission Sets, Object-Level Security, Field-Level Security, Sharing Rules).
</li><li>2+ years of experience with one or more enterprise test automation tools (Provar, Selenium WebDriver, SmartBear) Other Salesforce-compatible automation frameworks.
</li><li>2+ years of experience with custom programming languages (Apex) from a consumer and testing perspective.
</li><li>2+ years of experience with modern web component frameworks (Lightning Web Components) for validation testing.
</li><li>2+ years of experience testing and validating custom component behavior, integration points, and user interactions.
</li><li>2+ years of experience testing OmniStudio components (OmniScripts, FlexCards, DataRaptors/DataMappers).
</li></ul>
<br>
<i>Cloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race,?color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.</i><br>
<br>
<b>AI-Assisted Resume Evaluation Notice</b><br>
<b>Cloud and Things &ndash; Talent Management</b><br>
<br>
<b>Notice to Candidates</b><br>
Cloud and Things utilizes artificial intelligence (AI) tools to assist our recruiting team in evaluating candidate applications for streamlining; consistency, efficiency, and thoroughness. All hiring decisions are ultimately made by our human recruiting professionals.<br>
<br>
<b>How AI Is Used</b><br>
Our AI tools assist by:
<ul><li>Analyzing resumes against job requirements
</li><li>Supporting our recruiters in candidate data evaluation
</li><li>Ensuring consistent review standards across all applications
</li></ul><b>Important: </b>AI serves as a support tool only. As noted above, all candidate selection and hiring decisions are made by experienced human recruiters. Your unedited resume will be processed by our AI tools as part of this evaluation.<br>
<br>
<b>Your Data and Privacy</b><br>
<br>
<b>Cloud and Things Data Handling:</b>
<ul><li>Your information is processed securely and used exclusively for recruitment purposes
</li><li>Cloud and Things may store your resume in our Applicant Tracking System (ATS) indefinitely for future job matching opportunities
<ul><li>You may opt out of long-term ATS storage by emailing your name and your request to opt out of storing your resume in the ATS to: security@cloudandthings.com
</li></ul></li><li>All personal information is handled confidentially in accordance with our privacy policy
</li></ul>
<br>
<b>AI Tool Data Processing:</b>
<ul><li>AI processing data is retained for a maximum of 90 days, after which it is deleted
</li><li>All data sent to AI tools is encrypted in transit and at rest
</li><li>AI tools comply with applicable privacy laws including GDPR and CCPA
</li><li>Personal data is anonymized or minimized wherever possible during AI processing
</li></ul>
<br>
<b>Your Participation</b><br>
By submitting your application, you acknowledge this notice and consent to AI-assisted evaluation as part of our recruitment process. You may opt out only by choosing not to submit your resume for consideration.</div>

Automation Engineer - (Required - Salesforce Certified Advanced Administrator)

<div>
 <p>
  <strong>
   About SteerAI
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI&rsquo;s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role
  </strong>
 </p>
 <p>
  We are looking for an Integration &amp; Test Engineer to integrate, commission, test, and document SteerAI&rsquo;s autonomous ground vehicle platforms. This role spans the full lifecycle, from software integration and vehicle commissioning through operational trial execution, post-mission reporting, and technical documentation. The role supports both internal trials and commercial customer deployments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Software Integration:
   </strong>
   Integrate autonomy software, and configuration packages into the different platforms. Verify software builds against release notes, run integration tests, and resolve compatibility issues across hardware and software subsystems.
  </li>
  <li>
   <strong>
    Commissioning:
   </strong>
   Lead end-to-end vehicle commissioning for both trial campaigns and commercial customer deployments. Execute system health checks, sensor calibration, communication link verification, and acceptance test procedures to confirm platform readiness.
  </li>
  <li>
   <strong>
    Test Planning and Execution:
   </strong>
   Translate trial objectives into executable test procedures and scenarios. Define success criteria, instrumentation plans, and safety boundaries. Direct day-to-day test operations in the field and make real-time decisions on scenario modifications within the approved envelope.
  </li>
  <li>
   <strong>
    Technical Documentation:
   </strong>
   Create and maintain user manuals, operator training materials, troubleshooting guides, commissioning checklists, and integration procedures. Compile mission metrics and contribute to Operational Insight Briefs and commercial handover documentation.
  </li>
  <li>
   <strong>
    Field Preparation and Troubleshooting:
   </strong>
   Execute field deployment checklists alongside the UGV / C2 Operator. Troubleshoot hardware and software issues, perform field-level maintenance, and escalate technical problems to the engineering team.
  </li>
  <li>
   <strong>
    Vehicle Operation (Cross-Training):
   </strong>
   Maintain proficiency in operating UGVs through the C2/FMS interface and remote control, including real-time monitoring, telemetry oversight, and emergency intervention procedures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Robotics, Mechatronics, Electrical Engineering, Systems Engineering, Computer Engineering, or related field.
  </li>
  <li>
   2+ years of experience in systems integration, test and evaluation, commissioning, or technical operations in defence, aerospace, robotics, or autonomous systems.
  </li>
  <li>
   Familiarity with autonomous vehicle systems, sensor suites (cameras, GNSS, IMU, lidar/radar), and communication systems.
  </li>
  <li>
   Comfortable working in outdoor field environments in various weather conditions.
  </li>
  <li>
   Methodical approach to checklists, procedures, and safety protocols.
  </li>
  <li>
   Proficiency in software integration workflows: flashing firmware, deploying configuration packages, running integration and regression tests. Hands-on experience operating unmanned ground vehicles, robotic systems, or remote-controlled platforms.
  </li>
  <li>
   Experience with structured test methodologies and evaluation frameworks (e.g., DT&amp;E, OT&amp;E). Familiarity with commissioning and acceptance testing procedures.
  </li>
  <li>
   Strong technical writing skills: proven ability to produce user manuals, training materials, troubleshooting guides, and test reports.
  </li>
  <li>
   Valid driver&rsquo;s license.
  </li>
 </ul>
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 <p>
  <strong>
   What we offer
  </strong>
 </p>
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 <p>
  We offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry. Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth.
 </p>
 <p>
  If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!
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Integration and Test Engineer, SteerAI

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