Lead AR Engineer

Findernest Software Services Pvt Ltd
Par
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer, Gen AI

Lead Data Scientist

Lead Machine Learning Engineer

Lead Data Scientist

Lead DataOps Engineer - Big Data

Lead Machine Learning Engineer

LOCATION:FAIRWAY BUSINESS PARKBangalore
Mode:Onsite
TheLead AR Engineer plays a crucial role in our organizationoverseeing the design development and implementation of augmentedreality (AR) solutions. They will lead a team of AR engineersensuring the successful delivery of AR projects while collaboratingwith crossfunctional teams to drive innovation and exceed clientexpectations.

KeyResponsibilities

  • Collaborate withinternal teams and clients to design and develop AR/IoT solutionsusing PTC platforms such as ThingWorx.
  • Developcustom AR applications and IoT solutions integrating sensorsactuators and other hardware components using PTC tools andtechnologies.
  • Integrate APIs and data sourcesinto AR/IoT systems to enable realtime data tracking analytics anduser authentication.
  • Design and implement userinterfaces and interactions in AR applications leveraging PTCs bestpractices and UX research.
  • Develop unit tests and quality validation proceduresto ensure reliable and highquality AR/IoTproducts.
  • Troubleshoot and debug issues inAR/IoT systems ensuring optimal performance and userexperience.
  • Stay uptodate with advancements inPTC platforms and technologies as well as industry trends in AR andIoT.
  • Collaborate with crossfunctional teamsincluding developers engineers and designers to ensure successfulproject implementation.
  • Provide technicalguidance and support to clients and stakeholders during theimplementation and deployment of AR/IoTsolutions.
  • Document system designsconfigurations and processes for future reference and knowledgesharing.
SkillsRequired:
  • Proficiency in PTC platforms particularly ThingWorx for AR and IoTdevelopment.
  • Strong understanding of IoTconcepts protocols and architectures.
  • Experience in developing AR applications using PTC Vuforia orsimilar AR development frameworks.
  • Familiaritywith sensor integration data collection and analytics in IoTsystems.
  • Knowledge of PTCs industrialconnectivity solutions and protocols such as MQTT andOPCUA.
  • Proficiency in programming languagessuch as JavaScript C or C# for developing AR/IoTapplications.
  • Experience with cloud platformssuch as Microsoft Azure or AWS for deploying and managing AR/IoTsolutions.
  • Strong problemsolving and debuggingskills for troubleshooting complex AR/IoTsystems.
  • Excellent communication andcollaboration abilities to work effectively with crossfunctionalteams and stakeholders.

RequiredQualifications

  • B.E./B.Tech. (ComputerScience) or a related field.
  • 8 11 years ofrelevant experience in developing AR/IoT solutions using PTCplatforms.
  • Demonstrated experience inimplementing AR/IoT projects from concept todeployment.
  • Experience in working withindustrial or enterprise IoT applications ispreferred.

ar/iot development,sensorintegration,data analysis,iot,mqtt,team leadership,cloudplatforms,ptc creo,data collection,industrial connectivitysolutions,vuforia,iot concepts,machine learning,debugging,python,arsystem,ptcrb,thingworx,programming languages,ptcplatforms,analytics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.