Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

This is a hybrid role, requiring 2 days per week in our Bangalore office

Reporting directly to the Director of Engineering, the Senior Software Engineer will guide the design and implementation of software solutions for ChannelOnline (COL). Our teams work across the front-end (Angular, jQuery, JSP), backend (Java), Data (Elastic, MySQL), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for COL
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to industry standards and Syndigo guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 4+ years of software development experience
• 1+ years of full-stack application development using object-oriented programming (Java) and modern frameworks
• 2+ years of experience designing and implementing solutions with Azure
• 1+ years of experience developing APIs for front-end applications
• 2+ years of experience with relational databases (MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (GitHub Actions)
• 1+ years of experience with Perl or other scripting languages (preferred but not required)
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (Azure Blob Storage) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (Kubernetes) (preferred but not required)
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

We are hiring for a Software Engineer who will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc.), product teams, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We build and maintain a highly scalable platform that evolves to ever-changing business requirements. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Build features and solutions to collect, moderate, and/or deliver user-generated content to our customers
• Become an expert in multiple solutions and areas of the codebase, while understanding the larger architecture of the entire suite of solutions
• Participate in technical brainstorming and knowledge transfer sessions; provide technical input at both team and department levels
• Collaborate with engineers, product managers, UX designers, operations, and other teams to build a cohesive experience
• Contribute to each step of the product development process, including ideation, design, planning, architecture, development, testing, release, and maintenance
• Participate in and contribute to CI/CD, application monitoring, security, and developer tooling initiatives
• Support additional responsibilities as needed

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 5+ years of full-stack application development using Kotlin and Java with AWS
• 3+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)
• 2+ years of experience leveraging infrastructure as code using Terraform
• 1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB,
• MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration platforms (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with source control tools such as Git (preferred but not required)

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Senior Software Engineer will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc), product, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We build and maintain a highly scalable platform that evolves to ever-changing business requirements. We learn from our experiences to always improve, and we have fun and celebrate our successes.

Responsibilities:

• Build out features and solutions to collect, moderate, and/or deliver user-generated content to our customers
• Become an expert on multiple of our solutions and areas of our codebase, while understanding the larger architecture of our entire suite of solutions
• Participate in technical brainstorming and knowledge transfer sessions; provide technical advice at a team level and a department level
• Communicate across teams by collaborating with fellow engineers, product managers, UX designers, operations, and other development teams to build a holistic experience
• Proactively identify pain points and potential issues within our architecture and code base, and proactively tackle tech debt
• Contribute to each step of the product development process, from ideation and design, to planning and architecting, to building out the solution and infrastructure, to testing, to releasing, and maintenance
• Participate, build, and implement department CI/CD, application monitoring, security, and general developer tooling initiatives
• Mentor more junior engineers
• Other duties as assigned

Required Skills/Abilities:

• 8+ years of full-stack application development in our language stack (Kotlin, Java) and with AWS
• 5+ years of experience developing APIs for front-end applications
• 5+ years of strong experience with relational databases (PostgreSQL, MySQL) and large data sets
• 2+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)
• 2+ years of experience leveraging infrastructure as code using Terraform
• 1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• Previous experience leveraging automated database DDL (Liquibase, Flyway)
• Previous experience leveraging automated database DDL (Liquibase, Flyway)
• Previous experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL)
• Previous experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm)
• Experience with source control tools such as Git

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

Your role as a Manufacturing Engineer will be to support and drive improvement to our critical manufacturing functions. We have two sets of customers—our builders, who order parts through us, and our manufacturing partners, who manufacture and assemble these parts—and you’ll be consistently working at the interface between the two.  At Fictiv, we believe in creating the world’s premier platform for hardware manufacturing, and you’ll be playing a critical role in making that happen.

In your role as the Manufacturing Engineer, you will be reviewing and analyzing the manufacturability and costs associated with CNC machining submitted by our builders. In this role, you’ll also be using your Mechanical Engineering background and knowledge of manufacturing processes in order to determine what design changes may need to be made to our builders’ design specifications in order to meet their needs. By developing highly competitive proposals and quotations that meet the requirements called out by our customers, you will be assisting in bringing products to market faster in a wide range of industries (and helping to accelerate Fictiv’s growth)

You will report to the Costing and DFM lead.

What You’ll Be Doing

1. Package review - Study the package provided by Sales to determine scope of work, manufacturing feasibility & Lead time details
2. Should be able to define best suited manufacturing process, machine selection, cycle time calculations & setup costs
3. Should be able to generate Should cost using in house calculators & Fictiv's software recommendations
4. Manufacturing Partners quote scrutiny. To check whether the provided quote is correct in terms of optimized raw material, machining & secondary processes costs
5. Should be able to negotiate with Manufacturing partners on quotes provided and get the best costs out to ensure a win win situation
6. Should be able to understand secondary process eg Anodising, Zinc plating, Chemical conversion coatings with respect to their type, class, service class, methods etc 
7. Preparing RFQ package to Manufacturing Partners referring to capability & capacity plans 
8. Calculator Generations - Use own machining expertise & understanding of process cost drivers to develop cost calculators
9. DFx Feedback - Should be able to study the 3D Model, 2D prints to determine the manufacturability of the part & highlight key points that involve a design change recommendation
10. Automation Feedback - Provide feedback to Quoting SOftware team to improve accuracy of automated quoting of our manufacturing services
11. Packaging costs - Should be able to develop packaging concept & provide the same to Logistics team for generating Shipping costs
12. Follow up with Sales for Quoted RFQ's feedback on weekly basis & also provide feedback to Manufacturing partners about quoted RFQ's status
13. Work with CFT in evaluating value deals for project management validation, project de risking, quality documentation
14. Should be able to handle Assembly product structure
15. Help clear technical queries during MP Quoting
16. Maintaining reports  for Opportunities quoted won/lost, conversion ratio etc
17. Participate in Manufacturing Partners QBR with CFT to address cost issues, conversion ratios etc

Desired Traits

1. 6-8 years of relevant work experience
2. Meticulous, detail oriented, inclination for documentation
3. Excellent verbal and written communication skills in English required
4. Self-starter, manages time efficiently, able to complete work in a timely manner without active supervision
5. Enjoys sharing knowledge and teaching others about manufacturing processes
6. 4-year Mechanical Engineering degree 
7. 3D model & 2D print review with good proofreading capabilities
8.  5, 4, 3 Axis Milling, Turn Milling,  Grinding, Gear hobbing, Spark & wire EDM, Gun Drilling processes
9. Strong GD & T background
10. CNC machines specifications/technical data
11. CNC programming for milling & turning
12. Turning & Rotating tools selection , grades of inserts for turning & Milling, Insert specification
13. Work holding devices for CNC Turning & Milling centers
14. Recommended cutting conditions for work materials classified by ISO
15. Materials (Chemical compositions, Mechanical & Thermal properties) : Stainless steel, carbon steel, alloy steel, aluminum alloys, Tool steel Titanium plastics and their associated ASTM, ISO, IS, DIN &  MIL standards.
16. Heat treatment : Normalizing, Tempering, Annealing, Case hardening, & Quenching
17. Secondary processes : Anodising, chemical conversion coatings, Zinc plating, Nickel plating, tin plating, Bead blasting & their associated standards eg MIL , ASTM , ISO 
18. Secondary processes : Painting & Powder coating
19. Inspection instruments & methods to help improve DFM feedback
20. PPAP documentation
21. ISO 9001 : 2015 Documentation
22. AS9100D documentation
23. Proficient written & oral communication skills
24. Excel & Google sheet expertise
25. Undergone training on cutting tools through Sandvik, Kennametal etc
26. Production costing background
27. Packaging estimation : concept to development

Interested in learning more?  We look forward to hearing from you soon.

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

Your role as a Manufacturing Engineer will be to support and drive improvement to our critical manufacturing functions. We have two sets of customers—our builders, who order parts through us, and our manufacturing partners, who manufacture and assemble these parts—and you’ll be consistently working at the interface between the two. At Fictiv, we believe in creating the world’s premier platform for hardware manufacturing, and you’ll be playing a critical role in making that happen
In your role as the Manufacturing Engineer, you will be reviewing and analysing the manufacturability and costs associated with fabrication (including CNC machining, 3D printing, and other manufacturing processes) submitted by our builders. In this role, you’ll also be using your Mechanical Engineering background and knowledge of manufacturing processes in order to determine what design changes may need to be made to our builders’ design specifications in order to meet their needs. By developing highly competitive proposals and quotations that meet the requirements called out by our customers, you will be assisting in bringing products to market faster in a wide range of industries (and helping to accelerate Fictiv’s growth).
You will be reporting to the Director of Manufacturing Engineering (US) & Global Standards.

What You’ll Be Doing

• Release Package Review – Analyze models, drawings, parts lists, and other data to determine scope of work, feasibility for manufacturing, manufacturing requirements, and minimum lead time.
  
• Quoting – Combine your analysis with Fictiv’s software recommendations to generate quotes for builders, or collaborate with external suppliers to determine necessary quoting parameters.
  
• Calculator Generation – Use your fabrication expertise and understanding of process cost drivers to develop cost calculators that allow for Fictiv to bring quoting in-house for new service offerings.
  
• DFx Feedback – Provides DFx feedback to builders, such as recommended design alterations to improve manufacturability, reduce cost of part fabrication, or improve ease of assembly.
  
• Automation Feedback – Provide feedback to the quoting software team to improve accuracy of automated quoting of our manufacturing services.
  
• Drawing Generation – Generation of high-quality 2D drawings per ANSI/ASME Y14.5 standards.

Desired Traits

• Meticulous, detail oriented, inclination for documentation
• Excellent verbal and written communication skills in English required
• Self-starter, manages time efficiently, able to complete work in a timely manner without active supervision
• Enjoys sharing knowledge and teaching others about manufacturing processes
• 4-year Mechanical Engineering degree or equivalent technical training
• Understanding of GD&T and conventional (coordinate) tolerancing
• Knowledge of manufacturability, and limitations, of common metals and plastics
• Exposure to multiple custom mechanical manufacturing processes (sheet metal, urethane casting, injection molding, etc…)
• CNC machining and 3D printing experience is a must

Perks and Benefits

• Provident Fund
• Group Personal Accident Policy
  
• Mediclaim 
• And much, much more!

Interested in learning more?  We look forward to hearing from you soon.

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of sales jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you've already mastered. At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

We bridge the gap between complex customer requirements and practical manufacturing solutions by accurately interpreting technical drawings, performing precise cost analysis, and ensuring manufacturability through DFM (Design for Manufacturability) reviews. We engage directly with customers to clarify requirements, address technical questions, and provide transparent guidance that balances cost, quality, and lead time.

We streamline quoting workflows by reducing manual touchpoints, standardizing processes, and enabling faster decision-making. We proactively identify risks whether in material sourcing, tolerance challenges, or production feasibility and work with cross-functional teams to resolve them before they impact delivery.

Our work enhances the customer experience by combining deep technical expertise with clear, timely communication. We act as the link between customer needs and manufacturing capabilities, ensuring quotes are accurate, timelines are realistic, and outcomes meet or exceed expectations.

You will report to the Global Solution Engineering Director.

What You’ll Be Doing

• Accurate & Timely Quoting

  • Provide cost estimates for CNC machining and other manufacturing processes with high precision.

  • Perform DFM (Design for Manufacturability) analysis to highlight risks, suggest design changes, and optimize for cost and lead time.

  • Apply process knowledge to quote complex parts confidently, even in challenging timelines.

• Technical Support & Expertise

  • Interpret engineering drawings, GD&T, and material requirements to ensure feasibility.

  • Provide alternatives for difficult-to-source materials or complex geometries.

  • Offer process guidance for machining, finishing, and assembly needs.

  • Deliver region-specific manufacturing expertise across the US, India, China, and Mexico. Optimized to match the customer’s unique requirements, budget constraints, lead time goals, and project priorities.

• Customer Engagement & Education

  • Direct communication with customers to clarify requirements, resolve design concerns, and ensure alignment on expectations.

  • Provide proactive updates during quoting or project execution to reduce uncertainty.

  • Educate customers on trade-offs between cost, lead time, and quality.

• Cross-functional Collaboration

  • Work with internal teams (Sales, Operations, Sourcing, Quality & Logistics) to ensure smooth project execution.

  • Engage with manufacturing partners to validate capabilities, pricing, and delivery timelines.

• Risk Identification & Mitigation

  • Detect potential manufacturing challenges early, reducing costly rework or delays.

  • Recommend alternative manufacturing processes, tolerances, or materials when required.

• Platform-driven Quoting Solutions

  • Leverage platform tools to automate portions of the quoting process for speed and accuracy.

  • Balance risk by determining when to quote on-platform vs. escalate to High Touch (HT) quoting.

Desired Traits

• Meticulous, detail oriented, inclination for documentation
• Excellent verbal and written communication skills in English required
• Self-starter, manages time efficiently, able to complete work in a timely manner without active supervision
• Enjoys sharing knowledge and teaching others about manufacturing processes
• 4-year Mechanical Engineering degree or equivalent technical training
• Understanding of GD&T and conventional (coordinate) tolerancing
• Knowledge of manufacturability, and limitations, of common metals and plastics
• Exposure to multiple custom mechanical manufacturing processes (sheet metal, urethane casting, injection molding, etc…)
• CNC machining and 3D printing experience is a must

About the role

We are building a founding firmware engineering team in India and are looking for strong Firmware Engineers who want to own the foundation of new hardware platforms from day one. This role is focused on low level firmware development, early board bring up, and system level enablement across microcontrollers and infotainment class SoCs.

As a founding member of this team, you will work close to the hardware and have end to end ownership from first power on through a stable, production ready platform. Your work will define boot flows, OS bring up, performance characteristics, and power behavior that future products and teams will build on.

This is a deeply hands-on role for engineers who enjoy operating at the boundary of hardware and software, solving hard problems, and setting technical direction rather than inheriting it. You will collaborate closely with global teams, silicon vendors, and hardware partners while helping establish best practices and technical standards for the India organization.

At Applied Intuition, you will:

• Lead board bring up for new hardware platforms including microcontrollers and infotainment SoCs
• Develop and debug bootloaders and early boot software
• Bring up and customize FreeRTOS, QNX, Linux, and Android on new boards
• Work on Linux kernel and device driver enablement for custom hardware
• Optimize boot time, system startup, and runtime performance
• Drive power optimization across boot, idle states, and active workloads
• Debug complex hardware and software issues using JTAG, logic analyzers, and low level logs
• Collaborate closely with hardware teams, BSP vendors, and silicon partners
• Support system integration, validation, and bring up on real target hardware

We're looking for someone who has:

• 4+ years of strong experience in firmware or low level embedded systems development
• A Bachelor's degree in Computer Science, Embedded Software, Mechatronics, or equivalent
• Hands on experience with board bring up for MCUs or SoCs
• Deep knowledge of FreeRTOS and or QNX for embedded systems
• Experience working with Linux kernel or Android at the platform level
• Solid understanding of bootloaders such as U Boot or custom boot flows
• Strong C and C++ programming skills
• Experience debugging early boot and hardware dependent issues
• Understanding of power management, boot optimization, and performance tuning
• Comfort working close to hardware and reading schematics and datasheets
• Ability to work independently and take ownership from bring up to stabilization

Nice to have:

• Experience with BSP customization and silicon vendor SDKs
• Familiarity with secure boot, firmware update flows, or OTA mechanisms
• Experience supporting customer facing engineering or production bring up
• Experience with cloud-connected vehicle platforms, SDV architectures, and AI-driven automotive applications
• Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 2,165,800 - 5,000,000 INR annually.

As a Senior Database Engineer at Tekion, you will design, automate, and optimise database operations across our cloud-native automotive retail platform, connecting OEMs, dealerships, partners, and consumers. You’ll be working on scaling problems, laying down processes and streamlining requirements to actual executable tasks.

You’re expected to know in-depth about different storage and replication internals, trade-offs across SQL/NoSQL technologies, distributed systems fundamentals, transaction interaction and concurrency. A combination of this with strong Python fundamentals and Python scripting experience would make you a strong candidate for this role.

You should have at least 4+ years of experience. You should know about MongoDB in depth, and at least one SQL database like MySQL, MariaDB, PostgreSQL. People who want to build systems, not just manage them.

Key Responsibilities:

1. Core Database Engineering & Distributed Systems (Primary Focus):
1. Debug and prevent concurrency issues (deadlocks, lock escalation, starvation, long-running transactions) and advise teams on safe patterns (idempotency, retries, backoff, fencing tokens).
2. B-tree/LSM trade-offs, page layout, WiredTiger cache, journaling, WAL/redo/undo, checkpoints, compaction, MVCC behaviour
3. Backups (Logical vs Physical vs Snapshots based), upgradation of database systems and versions, data migration, and Disaster Recovery implementation
4. Query planner behaviour, statistics, cardinality estimation pitfalls
5. Indexing strategies and write amplification trade-offs
2. Reliability Engineering, Observability & Incident Response :
   Build and implement database reliability practices:

1. Lead incident response and postmortems; implement preventative controls and automated remediation.
2. Implement monitoring and alerting for replication lag, lock contention, buffer/cache health, slow query patterns, storage growth, and failover events.

1. Python Automation & Platform Tooling (Required):
   Develop and maintain robust Python tooling/services for:

• Automated health checks, failover verification, backup/restore validation, and consistency checks.
• Online schema change orchestration, safe rollout/rollback workflows, and guardrails in automation.
• Performance diagnostics automation (plan capture, workload fingerprinting).
• Build scalable automation that handles millions of records/events efficiently (attention to time/space complexity).

1. Data Modelling Across SQL & NoSQL:
   Guide data modelling decisions across relational and document/Key-Value stores:

• Normalisation vs denormalisation trade-offs
• Secondary index design, hot partition mitigation, and throughput planning
• TTL, archiving, and lifecycle policies
• Define governance for data correctness, durability, and operational safety in high-throughput systems

1. Collaboration, Standards & Enablement

1. Partner with application teams to design safe data access patterns, migration strategies, and operational standards.
2. Define best practices for production change management, access controls, auditing, and compliance requirements.
3. Mentor engineers and raise the bar on database engineering craftsmanship across the org.
4.  

Qualifications & Skills

Must have

• 4+ years of work experience as an engineer in a relevant role and responsibilities.
• Strong foundation in distributed systems and database fundamentals: CAP, consensus basics, replication, failure handling, and consistency.
• Deep understanding of transaction semantics, isolation levels, MVCC, locking, concurrency failure modes, storage engines and DB internals.
• Strong Python skills for building production-grade automation and diagnostics tooling.
• Hands-on experience operating and tuning production databases (MongoDB and at least one SQL system such as MySQL, PostgreSQL, MariaDB etc).
• Strong debugging and performance analysis skills; comfortable working from metrics, logs, traces, and low-level symptoms.
• Experience working with Linux and familiarity with common commands.

Nice to Have

• Experience with multi-region data architectures, global tables, and cross-region failover strategies.
• Familiarity with AWS and MongoDB Atlas.
• Understanding of Networking concepts like VPC, subnets, security groups, CIDR, peering etc.
• Experience with Kubernetes and/or self-managed database experience
• Experience building internal platforms (self-serve database ops, policy-as-code, safe migration frameworks).

What We’re Looking For

A senior engineer who:

• Thinks in trade-offs (latency vs consistency, durability vs throughput, cost vs performance), thinks deeply.
• Can reason from first principles about database behaviour under failure and load.
• Uses Python to operationalise best practices into repeatable, safe automation and can instruct others on best practices.
• Drives reliability, performance, and correctness across both SQL and NoSQL systems.
• Leads through technical clarity, ownership, and mentorship.

Build and operate the production backbone that takes models from Applied Sciences (AS) and delivers reliable, low-latency ML services across Tekion’s DMS, CRM, Digital Retail, Service, Payments, and enterprise products. You’ll own pipelines, microservices, CI/CD, observability, and runtime reliability—working hand-in-hand with Applied Sciences and Product to turn ideas into measurable dealer and consumer impact. 

Why this Role Matters 

• Accelerate the rollout of LLM-powered and agent-driven features across Tekion products. 

• Enable agentic workflows that automate, reason, and interact on behalf of users and internal stakeholders. 

• Operationalize secure, compliant, and explainable LLM and agentic services at scale. 

• Convert Applied Sciences models into scalable, compliant, cost‑efficient production services. 

• Standardize how models are trained, validated, deployed, and monitored across Tekion products. 

• Power real-time, context-aware experiences by integrating batch/stream features, graph context, and online inference. 

What You’ll Do 

• Turn Applied Sciences prototype models (tabular, NLP/LLM, recommendation, forecasting) into fast, reliable services with well-defined API contracts. 

• Integrate with the LLM Gateway/MCP, prompt/config versioning. 

• Build and orchestrate CI/CD pipelines. 

• Review data science models; refactor and optimize code; containerize; deploy; version; and monitor for quality. 

• Collaborate with data scientists, data engineers, product managers, and architects to design enterprise systems. 

• Monitor, detect, and mitigate risks unique to LLMs and agentic systems. 

• Implement prompt management: versioning, A/B testing, guardrails, and dynamic orchestration based on feedback and metrics. 

• Design batch/stream pipelines (Airflow/Kubeflow, Spark/Flink, Kafka) and online features linked to our domain graph. 

• Build inference microservices (REST/gRPC) with schema versioning, structured outputs, and stringent p95 latency targets. 

• Manage the model/feature lifecycle: feature store strategy, model/agent registry, versioning, and lineage. 

• Instrument deep observability: traces/logs/metrics, data/feature drift, model performance, safety signals, and cost tracking. 

• Ensure real-time reliability: autoscaling, caching, circuit breakers, retries/fallbacks, and graceful degradation. 

• Develop templates/SDKs/CLIs, sandbox datasets, and documentation that make shipping ML the default path. 

Desired Skills and Experience 

• 6+ years in ML engineering/MLOps or backend/platform engineering with production ML. 

• Experience with LLMs, retrieval systems, vector stores, and graph/knowledge stores. 

• Strong software engineering fundamentals: Python plus one of Java/Go/Scala; API design; concurrency; testing. 

• Hands-on with orchestration frameworks and libraries (LangChain, LlamaIndex, OpenAI Function Calling, AgentKit, etc.). 

• Knowledge of agent architectures (reactive, planning, retrieval-augmented agents), and safe execution patterns. 

• Pipelines and data: Airflow/Kubeflow or similar; Spark/Flink; Kafka/Kinesis; strong data quality practices. 

• Microservices and runtime: Docker/Kubernetes, service meshes, REST/gRPC; performance and reliability engineering. 

• Model ops: experiment tracking, registries (e.g., MLflow), feature stores, A/B and shadow testing, drift detection. 

• Observability: OpenTelemetry/Prometheus/Grafana; debugging latency, tail behavior, and memory/CPU hotspots. 

• Cloud: AWS preferred (IAM, ECS/EKS, S3, RDS/DynamoDB, Step Functions/Lambda), with cost optimization experience. 

• Security/compliance: secrets management, RBAC/ABAC, PII handling, auditability. 

Preferred Mindset 

• Product-oriented: You measure success by dealer and consumer outcomes, not just technical metrics. 
• Reliability- and safety-first: You move fast with guardrails, rollbacks, and clear SLOs. 
• Systems thinker: You design for multi-tenant scale, portability, and cost efficiency
• Collaborative: You translate between Applied Sciences, Product, and the Data & AI Platform; you document and teach. 

Senior Software Engineer  -  Senior Machine Learning Platform

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 5 - 7 years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

At Tekion, we’re building the only cloud -native platform that is transforming the automotive retail industry, leap frogging it into the future and providing unparalleled customer experience. We’re creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). We’re harnessing passion, entrepreneurial spirit, deep industry expertise and the latest technologies to create something very special. We’re inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!

Core Responsibilities:
• Taking ownership of customer issues reported and seeing problems through to resolution
• Researching, diagnosing, troubleshooting, and identifying solutions to resolve system issues
• Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams
• Ability to understand the application both functionally and technically
• Ref er to internal database or external resources to provide accurate tech solutions
• Ensure all issues are properly logged
• Prioritize and manage several open issues at one time
• Prepare accurate and timely reports
• Document technical knowledge in the form of notes and manuals

Required Skills:
• Experience as an Application/Product/Customer Support Engineer.
• Ability to learn and master employer-specific software
• Complex problem solving
• Written and verbal communication skills
• Ability to diagnose & address application issues
• Basic understanding of IoT and software - preferred not mandatory
• Candidate should be ready for rotational shift perks and benefits

Hands on experience on chats / Ticketing tools

Role Overview

As the Manager, Database Reliability Engineering (DBRE), you will lead a team of expert DBREs responsible for the health, performance, automation, and scalability of Tekion’s data backbone. Your focus will be on operational excellence, automation first, and continuous improvement of reliability and efficiency for our MongoDB, MySQL, and Elasticsearch clusters. You'll mentor your team, drive innovation in database automation (using Go or Python), and collaborate with product, engineering, and Cloud teams.

Key Responsibilities

• Team Leadership & Strategy: Build, mentor, and lead a high-performing Database Reliability Engineering team, fostering a culture of technical excellence, ownership, and collaboration.
• Database Operations & Reliability: Oversee the reliability, performance, availability, and scalability of MongoDB, MySQL, and Elasticsearch across multiple environments and regions.
• Automation & Engineering: Architect and drive automation for database provisioning, scaling, backups, upgrades, patching, and recovery using Go or Python. Establish standards for Infrastructure as Code and self-service database management.
• Monitoring & Incident Response: Implement and enhance automated monitoring, alerting, performance tuning, and self-healing solutions. Lead major incident response, postmortems, and continuous improvement.
• Collaboration: Partner with SRE, CloudOps, Security, and development teams to understand requirements, drive database reliability improvements, and support feature launches.
• Best Practices & Documentation: Define and enforce database reliability best practices, documentation, runbooks, and automation guides. Promote DBRE standards and knowledge sharing.
• Capacity & Cost Management: Monitor capacity, forecast growth, and work with engineering and product teams on cost-effective database scaling.
• Security & Compliance: Ensure security, compliance, and data protection in all database operations and automation solutions.

Required Qualifications

• Bachelor's or master’s in computer science, Engineering, or equivalent practical experience.
• 8+ years of experience in database engineering, DBRE, or SRE roles, with at least 3+ years in a technical/team leadership or management position.
• Deep hands-on experience managing and automating MongoDB, MySQL, and Elasticsearch (good to have).
• Strong programming skills in Go or Python for database automation and tooling.
• Proven ability to design and implement automation for database lifecycle operations, monitoring, and self-healing.
• Expertise in building, running, and scaling highly available database clusters (replication, sharding, backup/restore, performance tuning).
• Strong knowledge of database security, access controls, patching, and compliance practices.
• Excellent communication, incident leadership, and cross-functional collaboration skills.
• Track record of hiring, mentoring, and developing technical talent.
• Prior Manager experience is a must 

Summary:

The Senior Manager, DevOps leads the strategic direction and execution of Tekion’s DevOps and infrastructure automation initiatives. This role oversees global teams responsible for platform reliability, CI/CD, observability, and cloud operations. It focuses on scaling infrastructure, improving deployment velocity, and ensuring operational excellence across the engineering organization.

Duties & Responsibilities:

• Defines and executes the DevOps roadmap, aligning automation, reliability, and scalability goals with organizational priorities.
• Manages and scales teams responsible for cloud infrastructure, CI/CD pipelines, monitoring, and SRE practices.
• Partners with Engineering, Product, and Security leadership to align on architectural standards and operational policies.
• Leads modernization initiatives including infrastructure as code, containerization, and service mesh adoption.
• Establishes SLAs, incident response processes, and performance metrics for platform health and resilience.
• Oversees budget planning, vendor evaluation, and tooling strategy to ensure efficiency and scalability.
• Mentors DevOps managers and senior engineers, fostering a culture of accountability, innovation, and continuous improvement.

Job Complexity:

Leads global, cross-functional infrastructure programs with high strategic value. Balances short-term platform demands with long-term architectural and operational vision.

Required Supervision:

Operates with complete autonomy. Responsible for team leadership, budget oversight, and cross-department alignment with executive stakeholders.

Expertise:

Demonstrates deep expertise in DevOps, infrastructure automation, cloud architecture, and site reliability engineering. Influences enterprise-wide technical decisions and leads transformation across engineering operations.

Qualifications:

• 10+ years of experience in DevOps, cloud engineering, or infrastructure leadership roles
• 5+ years in technical leadership or management, including global team oversight
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Strong expertise in AWS, GCP, or Azure and infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi
• Proficiency in CI/CD pipeline tooling (e.g., Jenkins, GitLab CI/CD, ArgoCD) and observability stacks (e.g., Prometheus, Grafana, ELK)
• Experience implementing SRE practices, reliability metrics, and service-level objectives
• Excellent leadership, strategic thinking, and cross-functional collaboration skills

The opportunity
Join the Global Tech GTM team as we embark on a landmark year of consolidating our technical foundations across our Grow and Create business units. As the Manager of our Bengaluru-based Support and QA hub, you will lead the operational engine that ensures our global GTM applications—including Salesforce, Zuora CPQ, and Ironclad—run with clinical precision.

In the short term, you will stabilize our global support queues and establish high-standard QA protocols for our roadmap deployments. Long-term success involves building a high-performing team that acts as a center of excellence for technical validation and rapid issue resolution. You will have a direct impact on the stability of our Lead2Cash lifecycle, ensuring that the technology powering our global revenue remains flawless. This is a unique opportunity to grow within a high-impact global team and shape the technical operations of a leading tech ecosystem.

What you'll be doing

• Lead and mentor a specialized team of Support specialists and QA engineers providing global coverage for GTM business applications.
• Oversee the end-to-end QA lifecycle for Salesforce deployments and critical integrations (Zuora, Tipalti, Ironclad), ensuring zero-defect production launches.
• Manage global support operations within Salesforce, optimizing ticket routing, resolution quality, and SLA compliance.
• Partner with global Product Managers and Developers to translate roadmap requirements into comprehensive test plans and support documentation.
• Drive operational efficiency by identifying recurring technical friction points and implementing automated solutions or process improvements.

What we're looking for

• Salesforce Administrator proficiency with deep knowledge of the platform's architecture and Service Cloud functionality.
• Professional experience in QA methodologies, including regression testing, UAT coordination, and automated testing tools.
• Proficiency in managing technical support operations and ticketing systems to drive performance metrics.
• Experience in designing and documenting technical operational processes for global cross-functional teams.
• Advanced verbal and written English communication skills for collaborating with stakeholders in Finance, Sales, and Legal across multiple time zones.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

At Tekion, we’re building the only cloud -native platform that is transforming the automotive retail industry, leap frogging it into the future and providing unparalleled customer experience. We’re creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). We’re harnessing passion, entrepreneurial spirit, deep industry expertise and the latest technologies to create something very special. We’re inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!

Core Responsibilities:
• Taking ownership of customer issues reported and seeing problems through to resolution
• Researching, diagnosing, troubleshooting, and identifying solutions to resolve system issues
• Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams
• Ability to understand the application both functionally and technically
• Ref er to internal database or external resources to provide accurate tech solutions
• Ensure all issues are properly logged
• Prioritize and manage several open issues at one time
• Prepare accurate and timely reports
• Document technical knowledge in the form of notes and manuals

Required Skills:
• Experience as an Application/Product/Customer Support Engineer.
• Ability to learn and master employer-specific software
• Complex problem solving
• Written and verbal communication skills
• Ability to diagnose & address application issues
• Basic understanding of IoT and software - preferred not mandatory
• Candidate should be ready for rotational shift perks and benefits

Hands on experience on chats / Ticketing tools

Why This Role Matters
We're looking for a Data Platform Engineer with deep systems engineering expertise and a passion for building reusable infrastructure. You'll help
architect and deliver the internal frameworks that power data ingestion, transformation, observability, and self-serve analytics across the company. Your work will be central to enabling scalable, multi-tenant ingestion pipelines (including CDC via Debezium), serving layers built on Trino, and robust tooling that lets teams move fast without compromising on data quality or platform
health.

What Makes This Opportunity Unique
Build platform tooling for multi-region, multi-tenant data infrastructure using modern open-source and cloud-native technologies.
Lead engineering efforts around CDC pipelines using Debezium, enabling reliable change capture from application databases.
Shape the developer experience for data engineers, from ingestion to publishing and consumption, with metadata-aware automation.
Drive the evolution of data serving infrastructure using Trino and open table formats like Delta Lake or Iceberg.
Work at the intersection of data engineering, infrastructure, and platform strategy, directly influencing core architectural decisions.

Responsibilities

• Design and implement foundational frameworks for ingestion, orchestration, schema validation, and metadata management.
• Build robust, scalable pipelines for Change Data Capture (CDC) using Debezium integrated with Kafka and Spark.
• Develop internal tooling to standardize and accelerate data ingestion, transformation, and publishing workflows.
• Optimize data serving layers powered by Trino, including metadata syncing, security filtering, and performance tuning.
• Partner with SRE and Infra teams to build autoscaling, self-healing, and cost-optimized Spark jobs on AWS EMR.
• Implement observability features — logs, metrics, alerts — for critical platform services and data pipelines.
• Define and enforce standards for schema evolution, lineage tracking, and data governance.
• Automate platform operations using CI/CD pipelines, metadata-driven configurations, and infrastructure-as-code.

Desired Skills & Experience

• 7+–12 years of experience in data platform, infrastructure, or backend systems engineering roles.
• Strong systems engineering fundamentals — distributed systems, fault tolerance, performance tuning.
• Expertise in Apache Spark with production experience on AWS EMR.
• Experience building or managing CDC pipelines using tools like Debezium, Kafka Connect, or custom connectors. Familiarity with streaming systems such as Kafka, Kinesis, or Flink.
• Experience serving data using Trino or Presto in a multi-tenant environment.
• Proficiency in Python, Java or Scala, and Unix/Linux systems.
• Strong understanding of open table formats like Delta Lake or Apache Iceberg.
• Exposure to infrastructure as code (Terraform, CloudFormation) and CI/CD automation.

Preferred Mindset

• Platform-first thinker — designs systems for scale, abstraction, and reusability.
• Builder's bias — values automation, clean interfaces, and measurable SLAs.Deep collaborator — partners well across Data, Infra, and Engineering teams.
• Operational discipline — understands the impact of monitoring, logging,and reliability.

Why This Role Matters
We're looking for a Data Platform Engineer with deep systems engineering expertise and a passion for building reusable infrastructure. You'll help
architect and deliver the internal frameworks that power data ingestion, transformation, observability, and self-serve analytics across the company. Your work will be central to enabling scalable, multi-tenant ingestion pipelines (including CDC via Debezium), serving layers built on Trino, and robust tooling that lets teams move fast without compromising on data quality or platform
health.

What Makes This Opportunity Unique
Build platform tooling for multi-region, multi-tenant data infrastructure using modern open-source and cloud-native technologies.
Lead engineering efforts around CDC pipelines using Debezium, enabling reliable change capture from application databases.
Shape the developer experience for data engineers, from ingestion to publishing and consumption, with metadata-aware automation.
Drive the evolution of data serving infrastructure using Trino and open table formats like Delta Lake or Iceberg.
Work at the intersection of data engineering, infrastructure, and platform strategy, directly influencing core architectural decisions.

Responsibilities

• Design and implement foundational frameworks for ingestion, orchestration, schema validation, and metadata management.
• Build robust, scalable pipelines for Change Data Capture (CDC) using Debezium integrated with Kafka and Spark.
• Optimize data serving layers powered by Trino, including metadata syncing, security filtering, and performance tuning.
• Partner with SRE and Infra teams to build autoscaling, self-healing, and cost-optimized Spark jobs on AWS EMR.
• Implement observability features — logs, metrics, alerts — for critical platform services and data pipelines.
• Define and enforce standards for schema evolution, lineage tracking, and data governance.
• Automate platform operations using CI/CD pipelines, metadata-driven configurations, and infrastructure-as-code.

Desired Skills & Experience

• 5-7 years of experience in data platform, infrastructure, or backend systems engineering roles.
• Strong systems engineering fundamentals — distributed systems, fault tolerance, performance tuning.
• Expertise in Apache Spark with production experience on AWS EMR.
• Experience building or managing CDC pipelines using tools like Debezium, Kafka Connect, or custom connectors. Familiarity with streaming systems such as Kafka, Kinesis, or Flink.
• Experience serving data using Trino or Presto in a multi-tenant environment.
• Proficiency in Python, Java or Scala, and Unix/Linux systems.
• Strong understanding of open table formats like Delta Lake or Apache Iceberg.
• Exposure to infrastructure as code (Terraform, CloudFormation) and CI/CD automation.

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

Desired Skills & Experience 

• 4 - 5+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 5+ - 8+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

We are looking for a Senior NetSuite Developer to design, build, and enhance solutions within our ERP ecosystem. In this role, you will play a hands-on part in the development, customization, integration, and optimization of our NetSuite platform. You’ll partner closely with cross-functional teams across Finance, Operations, and Business Applications to create scalable and automated solutions that support our rapid growth.

Key Responsibilities

• Develop, test, and maintain custom scripts using SuiteScript 2.0 (and 1.0 where necessary) for automation, validation, and system extension.

• Build and optimize SuiteFlows, RESTlets, SuiteTalk APIs, and custom records to streamline operational and financial processes.

• Support configuration, customization, and administration of NetSuite modules, including ARM, SuiteBilling, Inventory, and Procurement.

• Create and maintain saved searches, dashboards, KPIs, and reports for business users and leadership visibility.

• Participate in integration efforts between NetSuite and third-party platforms such as Salesforce, Stripe, banks, and BI tools via middleware (e.g., Boomi, MuleSoft).

• Perform impact analysis and testing for system upgrades, new releases, and patch deployments.

• Collaborate with analysts, architects, and end users to gather requirements and translate them into scalable technical solutions.

• Write and maintain technical documentation, including design specs, test plans, and deployment runbooks.

• Apply best practices for development, testing, DevOps, and change management in NetSuite environments.

Qualifications

• 5+ years of NetSuite development experience with a strong technical foundation.

• Proven expertise in SuiteScript 2.0, SuiteFlow, SuiteTalk, saved searches, workflows, and RESTlets.

• Experience with NetSuite APIs (REST/SOAP) and middleware integration tools (Boomi, MuleSoft, Celigo, etc.).

• Deep understanding of key NetSuite processes such as Order-to-Cash, Procure-to-Pay, and Subscription Billing.

• Strong problem-solving skills and ability to independently drive complex technical projects.

• Excellent written and verbal communication skills; able to explain technical details to non-technical users.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience.

Preferred Qualifications

• NetSuite Certifications: SuiteFoundation, SuiteCloud Developer, or Administrator.

• Experience with NetSuite ARM (Advanced Revenue Management) and SuiteBilling.

• Knowledge of NetSuite OneWorld (multi-entity, multi-currency, global tax setup).

• Exposure to Salesforce or other CRM integrations with NetSuite.

• Familiarity with SaaS models: usage-based billing, subscription management, and revenue recognition.

• Understanding of SOX compliance and controls in a public company.

• Experience working in Agile/Scrum environments and collaborating in cross-functional squads.

• Ability to mentor junior developers and contribute to code reviews and architecture discussions.

DESIGN VERIFICATION ENGINEER

BENGALURU, INDIA

About the role:

We are seeking a seasoned Design Verification Engineer with a strong background in building testbenches and writing test sequences for complex IPs. The ideal candidate will play a key role in shaping our technology portfolio, bringing expertise and creativity to our solutions

Responsibilities​:

• Create test plans for highly configurable IPs meant to provide interconnectivity between components across an SoC, chiplet, or multi-chiplet systems

• Write UVM/SystemVerilog code to implement the test plan, checkers, and scoreboards

• Collaborate with software teams to define and implement configurable test benches

• Work with design teams test plans, failure debug, coverage, etc.​

Qualifications and Preferred Skills​

• BS, MS in Electrical Engineering, Computer Engineering or Computer Science

• 8+ years and current hands-on experience in block-level/IP-level/SoC-level verification

• Proficiency in Verilog, SystemVerilog

• Familiarity with industry-standard EDA tools for simulation and debug

• Deep experience with UVM-based test benches

• Experience with modern programming languages like Python

• Knowledge of Arm AMBA protocols such as AXI, APB, and AHB

• Understanding of Arm CHI protocol is a plus

• Experience on working with IPs for caches, cache coherency, memory subsystems, interconnects and NoCs

• Experience with formal verification techniques, emulation platforms is a plus

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills

SOFTWARE VERIFICATION ENGINEER 

BENGALURU, INDIA

• Own functional and performance verification of Baya’s software platforms
• Define software verification infrastructure and processes to ensure high quality and performance
• Develop and execute software test plans, verification convergence plans and monitor quality metrics
• Collaborate with architects to define and verify performance metrics of the IP
• Guide engineers on verification closure
• Manage regressions, triaging and debugging
• Sign-off on verification and quality for release milestones​

• BS, MS in Computer Science, Computer Engineering or Electrical Engineering (or equivalent experience)
• 4+ years of experience in SW or HW verification in the semiconductor, CAD or automotive industry
• Proficiency in Python and C++
• Proficiency with System C is a plus
• Excellent problem-solving skills and attention to detail
• Familiarity with Arm CHI and AXI protocols is a plus
• Understanding of software systems design and modeling
• Understanding of computer architecture and networking concepts
• Understanding of System/SoC architecture
• Experience with modern code development practices: Git, CI, UI
• Strong communication and collaboration skills

MICROARCHITECT AND RTL DESIGN  

BENGALURU, INDIA

About the role:

We are seeking a seasoned Microarchitect and RTL Design Engineer with a strong background in microarchitecture and RTL coding. The ideal candidate will play a key role in shaping our technology portfolio, bringing expertise and creativity to our solutions

Responsibilities:

• Design and develop microarchitectures for a set of highly configurable IP's

• Microarchitecture and RTL coding ensuring optimal performance, power, area

• Collaborate with software teams to define configuration requirements, verification collaterals etc.

• Work with verification teams on assertions, test plans, debug, coverage etc.

Qualifications and Preferred Skills:

• BS, MS in Electrical Engineering, Computer Engineering or Computer Science

• 8+ years and current hands-on experience in microarchitecture and RTL development

• Proficiency in Verilog, System Verilog

• Familiarity with industry-standard EDA tools and methodologies

• Experience with large high-speed, pipelined, stateful designs, and low power designs

• In-depth understanding of on-chip interconnects and NoC's

• Experience within Arm ACE/CHI or similar coherency protocols

• Experience designing IP blocks for caches, cache coherency, memory subsystems, interconnects and NoC's

• Familiarity with RAS designs, QoS in fabrics, PCIe/IO is a plus

• Experience with modern programming languages like Python is a plus

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills

SENIOR FIELD APPLICATIONS ENGINEER 

BENGALURU, INDIA

About the role:

If you are skilled and have experience as a Senior Field Applications Engineer, you will play a critical role in providing technical expertise and support to our customers. You will empower and guide them on designing and deploying Baya technologies into their products. You will work closely with our sales and engineering teams to understand customer requirements, troubleshoot technical issues, and deliver customized solutions that exceed expectations.

Responsibilities:

• Serve as the primary technical point of contact for key customers, providing guidance and support throughout the product development lifecycle.
• Assist in the design and implementation of customized solutions to meet customer-specific requirements.
• Develop and deliver technical presentations, demonstrations, and training sessions to customers, partners, and internal teams.
• Provide timely resolution to customer inquiries, issues, and concerns, ensuring high levels of customer satisfaction.
• Stay current with industry trends, technologies, and standard methodologies to effectively advise customers on product development strategies.

Skills and Experience:

• 5+ years of experience in a field application engineering or customer-facing technical role, with a master’s degree in electrical engineering, Computer Engineering, or related field.
• Experience in designing or supporting complex SoC, from architecture definition to tape-out, addressing implementation challenges on advanced process nodes.
• Understanding of RAS and reliability for enterprise and infrastructure markets is a plus.
• Understanding of functional safety standards and certification.
• Excellent communication and interpersonal skills, with the ability to effectively engage with customers, colleagues, and partners at all levels.

The role will involve travel to customer sites and events.