At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines.

You Are:

You are a highly analytical and hands-on engineer, passionate about hardware systems and their reliability. With a deep understanding of electronics, troubleshooting techniques, and system-level failures, you thrive in fast-paced environments where precision and attention to detail matter most.

Your experience spans across failure analysis, PCBA testing, and Final Assembly system testing, making you a go-to expert for both technical challenges and field reliability.

You enjoy working with cross-functional teams, communicating complex findings in clear, actionable ways, and you’re comfortable presenting your insights to stakeholders at all levels.

You are proactive, resourceful, and dedicated, always ready to take ownership of challenging problems and see them through to resolution.

What You’ll Be Doing:

• Managing field hardware quality for Synopsys HAV products

• Monitoring field quality data and metrics such as RMA rates, MTBF, and product reliability

• Owning failure analysis of field returned hardware, maintaining SLA on FA, and ensuring accurate entry of FA information in the RMA database

• Analyzing RMA data, Failure Analysis, and Repair data to identify trends and raise quality excursions, collaborating with multi-disciplinary engineering teams to validate resolution plans

• Driving improvement, containment, and mitigation plans for quality alerts, troubleshooting failures from system to PCBA/mechanical component level

• Conducting component-level troubleshooting and repair with supply chain partners, reviewing and approving failure analysis results, and maintaining design for reliability/service guides

• Publishing external-facing Failure Analysis Reports

• Leading field hardware quality meetings with key stakeholders, including senior management and customer support teams

• Enhancing and scaling up FA testing and automation, deploying standardized processes at global suppliers, and managing component-level supplier FA as needed

• Oversee operational performance of Failure Analysis @ contract manufacturer(s), ensuring partner(s) achieve key performance indicators, including FA SLA times, fault duplication rates, and fault isolation rates

• Work closely with the Product Quality and Manufacturing Test team to improve factory quality from field FA data

• Review and approve Failure Analysis results. Ensure status of RMA and Failure Analysis cases are updated in Synopsys customer relationship management system

• Maintain ECO matrix for RMA products and its implementation for repaired inventory

• Maintain a design for reliability/service guide. Review upcoming designs for DFR/DFS requirements

• Driving component level failure analysis with appropriate suppliers

• Travel up to 25% of the time to supplier sites out of the bay area

The Impact You Will Have:

• Elevate product quality and reliability, ensuring Synopsys hardware consistently meets and exceeds customer expectations

• Reduce field failure rates and improve MTBF, directly contributing to customer satisfaction and operational efficiency

• Drive proactive identification and resolution of quality excursions, minimizing downtime and optimizing manufacturing processes

• Influence design for reliability and service, impacting future product development and lifecycle management

• Support key business metrics by maintaining accurate failure analysis records and communicating actionable insights to stakeholders

• Foster cross-functional collaboration, enhancing teamwork between engineering, manufacturing, and customer support

• Lead process improvements, standardization, and automation initiatives that scale globally and enhance supplier performance

What You’ll Need:

• BS/MS in Electrical/Electronics Engineering or related field, with 7-10 years of experience in hardware failure analysis and/or Manufacturing test engineering

• Strong background in PCBA design, system test, and hardware troubleshooting, including hands-on experience with test and measurement equipment (oscilloscope, Linux-based tests)

• Proficiency in scripting languages (Python, PERL, Bash, shell) and working in a Linux environment

• Experience with analytical tools (SEM/EDS, CSAM, destructive/non-destructive tests) and understanding of circuit board schematics/layout

• Familiarity with Microsoft Word/Excel, Salesforce, SAP, Jira, and report automation tools (MS BI/Tableau/Sisense/Crystal Reports)

• Basic mechanical engineering knowledge and ability to lift/move up to 65lbs regularly

Who You Are:

• Detail-oriented, highly organized, and efficient in both written and oral communication

• Collaborative team player who thrives in cross-functional environments and values diverse perspectives

• Proactive problem solver with a strong sense of ownership and accountability

• Adaptable and resourceful, able to manage multiple priorities and drive process improvements

• Committed to continuous learning and professional growth, with a passion for innovation and quality

The Team You’ll Be A Part Of:

You will join the Hardware Assisted Verification (HAV) Operations Engineering team,a dedicated group of engineers focused on delivering superior hardware quality and reliability. Together, you’ll collaborate closely with manufacturing, quality, test, application, R&D, and field support teams to root cause hardware failures, optimize processes, and drive product improvement. The team’s core purpose is to ensure Synopsys emulation and prototyping systems set the industry standard for performance, reliability, and customer satisfaction.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We currently have 700 open roles

Manager, Applications Engineering

Bengaluru, Karnataka, India

Job Summary:

As a Manager, Applications Engineering at Synopsys, you will lead a team of Application Engineers in India, collaborating closely with multi-disciplinary teams across APAC and global Ansys organizations. The team is dedicated to advancing technical excellence, driving customer success, and fostering innovation through domain expertise in SI/PI, EMI/EMC, and RF/Antenna simulation.

Key Responsibilities:

• Lead pre-sales technical activities for Ansys Electronics high frequency solutions, including HFSS, SIwave, Q3D, EMC Plus, and Charge Plus.
• Partner with India and APAC sales and channel teams to support account planning and opportunity execution.
• Act as the senior technical escalation point for complex customer challenges in India and select APAC accounts.
• Support proof-of-concepts, benchmarks, competitive evaluations, and executive technical discussions to drive customer engagement.
• Guide customers through end-to-end simulation workflows spanning package, board, and system levels.
• Mentor and develop a team of Application Engineers, defining skill development plans and career pathways aligned with global standards.
• Build and sustain strong domain expertise across SI/PI, EMI/EMC, and RF/Antenna domains.
• Drive customer onboarding, enablement, adoption, renewals, and technical expansion initiatives.
• Collaborate with APAC and global application engineering leaders to share technical assets, best practices, and customer learnings.
• Provide structured customer feedback to influence product improvements, roadmap priorities, and beta initiatives.
• Represent Ansys India at technical seminars, webinars, user conferences, and ecosystem events.
• Develop reusable demos, reference workflows, and technical enablement material to strengthen India's technical delivery hub.

Impact:

• Position India as a global center of technical excellence within Ansys' ecosystem.
• Accelerate customer adoption and technical success of Ansys Electronics high frequency solutions across India and APAC.
• Enhance the capabilities and expertise of the Application Engineering team through mentorship and skill development.
• Drive innovation and customer satisfaction by resolving complex technical challenges and influencing product development.
• Build strong partnerships with sales, channel, and global teams to maximize business opportunities and customer outcomes.
• Contribute to the creation and dissemination of best practices, technical assets, and enablement materials that benefit both customers and internal teams.
• Shape the future direction of Ansys Electronics products through structured feedback and active participation in roadmap initiatives.
• Represent Ansys India as a thought leader at industry events, strengthening brand reputation and technical community engagement.

Requirements:

• MS/PhD in Electrical/Electronics Engineering or equivalent, specialized in Electromagnetics.
• 10+ years of experience in the high frequency domain, with deep hands-on expertise in electronics simulation.
• 5+ years of experience using electronics simulation tools or multiphysics engineering solutions.
• 5+ years of experience leading or mentoring technical teams in a customer-facing environment.
• Strong knowledge of SI/PI, EMI/EMC, RF, or power electronics simulation domains.
• Proven ability to communicate complex technical concepts clearly and effectively to diverse audiences.
• Logical problem-solving skills, excellent interpersonal and communication abilities, and fluency in English.
• Strong organizational and time management skills, with a sense of urgency and drive for high performance.
• Ability to travel up to 25% of the time as needed.
• Leadership presence, cross-cultural collaboration skills, and a strategic mindset.

Preferred Qualifications:

• Passion and drive for personal technical excellence and high performance.
• Customer service aptitude and maintain customer focus.
• Business acumen and driven to succeed.

Team:

You will lead the Electronics High Frequency Application Engineering team in India, collaborating closely with multi-disciplinary teams across APAC and global Ansys organizations. The team is dedicated to advancing technical excellence, driving customer success, and fostering innovation through domain expertise in SI/PI, EMI/EMC, and RF/Antenna simulation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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The Role --------

We are looking for highly skilled Data Scientists to join our team. As a Data Scientist, you’ll design and deliver GenAI solutions (LLM/RAG) and applied ML components, taking prototypes through to production with strong evaluation, observability and governance. You will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to turn data into actionable strategies that drive business outcomes.

Key Responsibilities --------------------

• Design and deliver GenAI solutions including LLM/RAG (retrieval strategy, embeddings, vector stores, prompt flows, grounding) for enterprise use cases.
• Evaluate and improve solution quality using offline/online metrics (quality, latency, cost) and iterate based on feedback.
• Harden solutions for production with observability/monitoring, tracing, guardrails, safety controls, and reliability practices
• Build and integrate model endpoints into products and workflows (APIs/services), partnering with engineering through to deployment.
• Work across cloud platforms (Azure/AWS/GCP) integrating storage, compute, orchestration, and model/runtime components.
• Assess data readiness for modelling/RAG (fitness, quality, access) and define remediation requirements
• Collaborate in cross-functional squads (DS/DE/engineering/product) and contribute to reusable assets and ways of working.
• Communicate clearly with stakeholders on trade-offs, evaluation results, risks, and adoption actions.
• Own end-to-end workstream delivery, lead stakeholder conversations, mentor others. (more senior levels)
• Shape solution direction and quality bar, coach teams, contribute to sales pursuits/bids and accelerators (most senior levels)

Requirements ------------

Essential Skills:

• Strong Python/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch).
• Experience with LLM/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector search (e.g., Pinecone, Weaviate, FAISS, Azure AI Search).
• Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents).
• Exposure to big data/distributed computing and pipeline/feature engineering.
• LLM safety & governance (hallucination mitigation, grounded responses, audit trails)
• Degree in a quantitative field
• Right to work in the UK without sponsorship

Preferred Skills:

• Cloud ML experience (AWS/GCP/Azure).
• Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz).
• Specialisms: NLP / computer vision / time series.
• NoSQL familiarity.
• Quant / trading analytics engineering practices
• Time-series forecasting (prices, demand, blend outcomes, scheduling effects)
• Optimisation / simulation (planning, blending, logistics constraints)
• Model risk controls (bias/leakage checks, backtesting discipline, monitoring/drift)
• CI/CD, deployment, monitoring; Docker/Kubernetes.
• Experiment design and randomised trials.
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

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Responsibilities:

• Collect, clean, integrate, and analyse high-volume power, cooling, and energy usage data from datacenter facilities and power plants
• Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement
• Design, develop, and maintain interactive business intelligence dashboards and reports using tools such as Seeq, Tableau, Power BI, Looker, or similar
• Identify trends, anomalies, inefficiencies, and optimisation opportunities in power distribution and cooling systems
• Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements
• Support infrastructure expansion planning through scenario analysis, capacity modelling, and cost projections
• Automate data collection pipelines and reporting processes to enable real-time visibility and decision making
• Present clear, actionable insights and recommendations to cross-functional teams and leadership

Basic Qualifications:

• 4+ years of professional experience in data analysis, business intelligence, or analytics engineering
• Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modelling
• Hands-on experience building dashboards and visualisations with Tableau, Power BI, Looker, or equivalent
• Solid foundation in statistics, time-series analysis, and forecasting techniques
• Experience working with large datasets and building scalable reporting solutions
• Excellent written and verbal communication skills

Preferred Skills and Experience:

• Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities
• Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data
• Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services)
• Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modelling
• Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field

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You will sit at the centre of this system, ensuring alignment across research, engineering, operations, and external partners so data collection runs reliably at scale. This is a single-threaded ownership role,responsible for making the system operate cohesively, scale across sites, and continuously improve as robotics capabilities evolve.

Success in this role requires strong cross-domain leadership and coordination across senior stakeholders, including robotics engineering, software teams, research leaders, operations teams, and external service partners.

Key responsibilities include:

• Owning the DAQ Operating System: ensuring robotics fleet, station software, workforce execution, and infrastructure operate as a single, reliable system
• Driving cross-functional execution: acting as the single point of operational alignment across robotics research, engineering, and operations
• Owning workforce & vendor performance: executing the managed workforce model through a services partner
• Running fleet, software, and infrastructure coordination: ensuring tight coordination across fleet reliability, station software, and operational infrastructure
• Scaling site operations: expanding DAQ operations and defining repeatable operating standards across sites

You might thrive in this role if you have led complex, cross-functional systems spanning engineering, operations, and external partners, operate as a single-threaded owner who drives alignment and execution across ambiguous environments, can impose structure, operating cadence, and accountability on messy, evolving systems, and enjoy owning system-level outcomes, not just functional pieces.

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Responsibilities:

• Design, develop, validate, and release parts for assigned programs
• Lead early development and system feasibility with studio and program management teams
• Ensure continuous design efficiency
• Meet corporate, local, and global regulatory requirements
• Manufacture and assemble parts efficiently

Qualifications:

• Bachelor's or foreign equivalent degree in mechanical engineering, electrical engineering, electronics engineering, or a related field
• 3+ years of experience in development of automotive body exterior systems in an engineering role
• Experience with studio interface of Class "A" Parts
• CAD experience with TCE/CATIA/3DX. Parametric modeling experience preferred
• Knowledge of craftsmanship expectations, and benchmarking
• Knowledge of Exterior Systems and packaging requirements
• Demonstrated ability to lead team to resolve complex packaging issues
• English proficiency; fluid speaker with ability to negotiate and lead small team
• Technical communication skills (Presentations & Negotiations)
• Meeting/time management (Recurrence, Agenda, expected outcomes, time management, minutes)
• Microsoft Office Tools proficiency (Word, Excel, Outlook, and Power Point)
• Knowledge of exterior systems commodity manufacturing processes

Preferred qualifications include Lean Six Sigma Green or Black belt, self-motivated with Continuous Improvement Mindset, and creative thinker capable of developing solutions.

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We are committed to delivering excellence in the development, simulation, testing and integration of propulsion systems, with all the experience of the AVL group in a local, personalized way and with a close technical service.

Our team is formed by an international team that develops cutting-edge mobility technology. We offer a wide range of benefits, including:

• Innovative Environment: join a forward-thinking company that promotes a pro-active work atmosphere.
• Career Progression: opportunities for professional growth within our organization.
• Competitive Salary: we offer a competitive salary package improving industry standards.
• Language Learning: access to language learning resources for employees interested in improving their English/German/French skills.

If you are a motivated and enthusiastic individual with a passion for mobility development and technical innovation, we encourage you to apply for this exciting opportunity.

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You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

Responsibilities

• Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

Requirements

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

Nice to Have

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

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You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.

Working closely with cross-functional stakeholders,including Sales, Finance, Marketing, and other data teams,you will tackle complex data challenges by leveraging structured data, building AI-powered querying assistants, and using tools like Databricks Genie to improve data accessibility, streamline insights, and deliver actionable, reliable solutions across the business.

You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.

The Impact You Will Have:

• Build: You will design and develop analytic tools, including a semantic layer for AI use cases, scalable data models, curated tables, and insightful analyses that empower thousands of field employees and leaders worldwide.

• Architect: You will both manage the requirements gathering and lead execution of strategic analytic projects.

• Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team

What we look for:

• You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).

• You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required.

• You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.

• You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work , from drafting and debugging code to synthesizing requirements and generating documentation.

• You're comfortable evaluating AI-generated outputs critically and iterating quickly.

• You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.

• You excel in partnering with the business, understanding the impact of your work on GTM, and creating innovative solutions.

• You have a track record of cross-functional collaboration and strong stakeholder relationships.

• You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors.

• You work through dependencies, bottlenecks, and tradeoffs with ease.

• You have a service-oriented mindset.

• You are curious, creative, and kind.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $133,000-$182,950 USD

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Your work will amplify the reach and impact of dbt across the modern data stack, helping to elevate our brand and drive growth through the ecosystem.

This is a highly cross-functional role where strategic thinking, creativity, and strong collaboration skills will be key to success.

Responsibilities

• Lead the creation and execution of marketing campaigns, programs, events, and activities with strategic technology partners.
• Collaborate closely with the Revenue Marketing, Partnerships, and Product Marketing teams to ensure GTM partner plans align with dbt Labs' broader business goals.
• Build and nurture relationships with marketing counterparts at key partners like Snowflake, Google, AWS, Microsoft, and Databricks to align on co-marketing efforts and shared objectives.
• Clearly articulate the value of dbt to partners and support them in promoting the platform internally and to their customer base.
• Own the development of joint messaging and co-branded assets,including blogs, webinars, solution briefs, and presentation decks,ensuring alignment and consistency across all public-facing content.
• Create internal enablement materials to educate and empower sales teams to leverage partner campaigns and initiatives.
• Gain a deep understanding of partner business strategies and priorities; design co-marketing programs that provide mutual value.
• Set and manage OKRs, track program performance, and deliver quarterly reviews with partners to assess impact, identify opportunities, and ensure strategic alignment.
• Develop annual GTM marketing plans tailored to individual partners, accounting for geographic and vertical-specific nuances.
• Exercise strategic judgment in deciding which partner activities to pursue and how best to allocate time and resources for maximum impact.

Requirements

• 8+ years of experience in B2B marketing or similar, particularly within the data or software industry, with a strong track record of building and executing successful partner marketing programs.
• A 'builder' mindset: you enjoy solving problems, creating structure where none exists, and working cross-functionally to drive measurable outcomes.
• Deep familiarity with the modern data ecosystem and players such as Snowflake, Google, AWS, Microsoft, and Databricks.
• The ability to navigate complex partner organizations and manage relationships with multiple stakeholders across competing interests.
• Strong storytelling and positioning skills,you know how to distill joint value propositions into compelling messaging and content.
• Comfort operating in a fast-paced, dynamic environment with high levels of ambiguity.
• A broad understanding of integrated marketing strategies, including digital campaigns, field marketing, and industry events.
• Exceptional communication skills, including concise writing and confident presentation abilities, especially with senior stakeholders.

Nice to Have

• Experience working asynchronously within a remote, distributed team.
• Prior experience working for or closely with any of dbt Labs' strategic partners.
• Familiarity with the role dbt Labs plays in the cloud data warehouse ecosystem and the modern data stack.

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
• Health & Wellness
• Home Office Setup
• Cell Phone & Internet
• Learning & Development
• Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, RSUs, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs total rewards during your interview process.

In select locations (including Austin, Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $132,000-$188,700
• The typical starting salary range for this role in the select locations listed is: $147,000-209,000

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To be successful in this role, you will need a Bachelor's degree in a related field such as Computer Science, Data Analytics, Education, or similar. You will also need 2-4 years of technical instruction or related experience. You will love teaching and creating those lightbulb moments for learners. You will create learning environments with high levels of engagement. You will be laser-focused on learner and customer outcomes while adjusting instruction on the fly. You will believe teaching is a craft that we can always get better at and actively seek out feedback. You will communicate clearly and concisely with internal and external stakeholders. You will thrive in an environment of cross-collaboration that moves quickly. You will have experience developing curricula and shipping courses fast.

What will make you stand out? You have worked on customer education/training teams and know how training can drive outcomes for customers. You have experience using dbt and/or teaching dbt. You have experience writing analytics code (i.e., Python, R, etc.) in addition to SQL and working with databases. You have experience designing curricula with a focus on backwards design. You have a dbt Fundamentals badge.

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You will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud.

Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing. This is not a purely reactive enablement role. The Partner SA is expected to help shape and execute repeatable partner plays that create revenue.

That includes enabling partner sellers and architects, supporting account mapping and seller-to-seller engagement, helping define joint value propositions, supporting partner-led pipeline generation, and influencing product and field strategy based on what is learned in-market.

Internal operating docs show this motion consistently includes enablement sessions, QBR sponsorships, account planning, workshops, field events, and targeted campaigns designed to produce sourced and influenced pipeline.

You'll be part of a team helping dbt scale its ecosystem through better partner capability, tighter field alignment, and more repeatable pipeline generation. The role is especially important as dbt continues investing in structured partner motions and deeper engagement with major cloud and data platform partners.

What you'll do:

• Partner closely with Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.

• Build trusted technical relationships with partner architects, sellers, and practice leaders

• Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness

• Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline

• Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption

• Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, lunch-and-learns, hands-on labs, and local field events

• Equip partner teams with the technical messaging, demo narratives, architectures, and customer use cases needed to position dbt effectively

• Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts

• Act as a technical bridge between partners and dbt Product / Engineering by surfacing integration gaps, field feedback, competitive insights, and roadmap opportunities

• Serve as an internal subject matter expert on dbt’s major technology partner ecosystem, especially Snowflake, Databricks, and Google Cloud

• Contribute to the scale motion by helping build collateral, playbooks, enablement assets, and best practices that raise the bar across the broader Partner SA function

• Travel approximately 30-40% to support partner planning, enablement, executive meetings, and field events across Japan

This scope reflects how the Partner SA team is already operating: enabling partner field teams, building account-level alignment, supporting QBRs and regional events, and translating those activities into sourced and engaged pipeline.

What you'll need:

• 5+ years of experience in solutions architecture, sales engineering, consulting, partner engineering, or another customer-facing technical role in data and analytics

• Strong hands-on background in SQL, data modeling, analytics engineering, and modern data platforms

• Ability to clearly explain modern data stack architectures and how dbt fits across warehouses, lakehouses, semantic layers, and AI-oriented workflows

• Experience translating technical capabilities into clear business value for both technical and non-technical audiences

• Comfort operating in highly cross-functional environments across Sales, Partnerships, Product, and Marketing

• Strong presentation, workshop, and facilitation skills, including external enablement and customer-facing sessions

• Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders

• Experience supporting complex enterprise buying motions, proof-of-value work, or partner-influenced sales cycles

• Strong written communication skills for building collateral, technical narratives, and partner-facing content

• A collaborative mindset and a desire to help scale best practices across a growing team

What will make you stand out:

• Experience working directly in partner, alliance, or ecosystem roles

• Experience with Snowflake, Databricks, BigQuery / Google Cloud, AWS, or Microsoft Fabric in a GTM or solutions context

• Experience enabling systems integrators, consulting firms, or technology partner field teams

• Familiarity with cloud marketplace motions, co-sell programs, and partner-sourced pipeline generation

• Prior experience with dbt, analytics engineering workflows, or adjacent tooling in transformation, orchestration, governance, or metadata

• Strong instincts for identifying repeatable plays that connect enablement activity to measurable pipeline outcomes

• Ability to influence both strategy and execution, from partner messaging and field enablement to product feedback and GTM refinement

• A track record of building credibility quickly with partner sellers, partner architects, and internal field teams

What to expect in the interview process (all video interviews unless accommodations are needed):

• Interview with Talent Acquisition Partner

• Interview with Hiring Manager

• Team Interviews

• Demo Round

#LI-LA1

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Your primary responsibility will be to lead architecture reviews and set analytical standards. You will own the strategy, technical architecture, and governance model for platforms that make key business metrics consistent, trustworthy, and easy to query at scale. You will also be responsible for owning the hardest cross-cutting analytical problems, driving org-wide data quality and consistency, and shaping long-term technical vision.

To succeed in this role, you will need to have 10+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles, with deep expertise in SQL and familiarity with AI-assisted development tools. You will also need to have a proven track record of setting long-term technical vision for analytics platforms and experience leading cross-team or org-wide data initiatives.

As a Staff Data Analyst at Stripe, you will have the opportunity to work with a talented team of data analysts, data scientists, and engineers to build and maintain a robust analytics infrastructure that supports business growth and decision-making.

If you are a motivated and experienced data professional looking for a challenging role with a high-growth company, we encourage you to apply.

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.

• AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.

• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started..

We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.

About the Role

We are seeking an experienced Senior Customer Solutions Resident Architects to join our team. In this role, you will drive critical customer outcomes by delivering high-impact technical guidance to strategic accounts. You will be part of a high-visibility initiative that supports pre-sales, accelerates adoption, enables key migrations, and mitigates churn risks.

This role is designed to deploy RA-level expertise flexibly, aligning with customer and business needs to drive growth, retention, and expansion.

What You’ll Do

• Accelerate Customer Success Across the Lifecycle

• Support strategic pre-sales opportunities by providing technical expertise to prospects

• Assist in launching and onboarding new customers who have not purchased RA services, ensuring they successfully adopt dbt Cloud

• Execute proactive adoption plays, including migrations, new feature implementations (e.g., Semantic Layer, Mesh), and major version upgrades

• Lead reactive adoption initiatives to de-risk churn or contraction and position accounts for future growth

• Deliver Technical Excellence

• Advise on architecture, design, implementation, troubleshooting, and best practices in dbt Cloud environments

• Build solution MVPs and guide long-term technical strategies tailored to customer needs

• Engage on multiple projects simultaneously with clear scoping, start and end dates, and outcome tracking

• Collaborate Across Teams

• Partner closely with Customer Solutions Architects (CSAs), Sales, Solutions Architects, Training, and Support

• Provide feedback to Product and Engineering to improve customer experience and prioritize technical needs

• Champion customer success through thoughtful, transparent communication and cross-functional collaboration

• Advance Best Practices and Team Impact

• Help build out and refine this evolving function alongside the broader RA organization

• Track and manage capacity and engagement effectiveness similarly to other RA-led initiatives

What You’ll Need

• 5+ years of experience in technical customer-facing roles such as post-sales consulting, technical architecture, or solution delivery

• Expertise with at least one modern cloud data platform (Snowflake, Databricks, BigQuery, or Redshift)

• Hands-on experience deploying or configuring dbt Cloud, with at least 1 year working with dbt

• Strong proficiency in SQL; working knowledge of Python in analytics contexts preferred

• Comfort leading technical project delivery , managing scope, timelines, and stakeholder expectations across multiple simultaneous engagements

• Clear, concise communication skills for both technical and executive audiences

• A collaborative mindset , thriving in a remote, transparent, and highly cross-functional organization

• Willingness to travel 2–4 times per year for company-wide events

What Will Make You Stand Out

• dbt Analytics Engineering Certification

• Ability to influence technical direction and build consensus across internal and customer teams

• Experience with traditional enterprise ETL tools (e.g., Informatica, Datastage, Talend) and how they relate to modern data workflows

• Familiarity with strategic sales or renewal processes, including proactive and reactive adoption efforts

• Proven success accelerating usage, adoption, and expansion in large, complex accounts

Remote Hiring Process

• Interview with a Talent Acquisition Partner

• Interview with Hiring Manager

• Task

• Task Review

• Final Values Interview

Benefits

• Unlimited vacation time with a culture that actively encourages time off

• 401k plan with 3% guaranteed company contribution

• Comprehensive healthcare coverage

• Generous paid parental leave

• Health & wellness stipend

• Flexible stipends for:

• Home office setup

• Learning and development

• Office space

• And more!

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.

In Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, and Austin, an alternate range may apply, as specified below.

• The typical starting salary range for this role in the specific locations listed is: $163,000 - $200,000

• The typical starting salary range for this role is: $146,000 - $180,000

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As of February 2025, we've surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers.

We're seeking an experienced Resident Architect (RA) with a passion for solving challenging problems with dbt to join our Professional Services team. RAs are billable to dbt Enterprise customers and help achieve our mission to empower data developers to create and disseminate organisational knowledge.

Responsibilities

• Work on a variety of impactful customer technical projects - inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long-term solutions to customer-specific requirements

• Consult on architecture and design

• Ensure our most strategic enterprise customers are adopting the product

• Collaborate with other internal customer-facing teams at dbt Labs - Sales, Solution Architects, Training, Support

• Provide critical feedback to dbt Labs product and engineering teams to improve and prioritise customer requests and ensure rapid resolution for engagement-specific issues

• Become a product expert with dbt in the context of the modern data stack (if you aren't already)

What You'll Need

• 4+ years' experience working with technical data tooling, even better if it is in a customer-facing post-sales, technical architect or consulting role

• Deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift)

• Experience using, deploying, or configuring dbt in an enterprise setting - working with dbt for minimum 1 year

• Proficiency in writing SQL and Python in analytics contexts

• You look forward to building skills in technical areas that support deployment and integration of dbt enterprise solutions to complete customer projects

• Customer focus, embracing one of core values that users are our best advocates

• Strong organisational skills with the ability to manage multiple technical projects simultaneously - including defining scope, tracking timelines, and ensuring deliverables are met

• Clear and concise communicator with the ability to engage internal and external stakeholders, effectively explain complex technical or organisational challenges, and propose thoughtful, iterative solutions

• The ability to thrive in a remote organisation that highly values transparency and cross-collaboration

• Travel approximately 2-4x/year for customer onsite sessions, team offsites, and company events will be expected

What Will Make You Stand Out

• You have obtained the dbt Analytics Engineering Certification

• You have the ability to advise on dbt enterprise recommendations, and build direction/consensus with the customer to move forward

• Experience with traditional Enterprise ETL tooling (Informatica, Datastage, Talend)

Remote Hiring Process

• Interview with a Talent Acquisition Partner

• Hiring Manager Interview

• Technical Task + Presentation

• Team Interview

Benefits

• Unlimited vacation time with a culture that actively encourages time off

• 401k plan with 3% guaranteed company contribution

• Comprehensive healthcare coverage

• Generous paid parental leave

• Flexible stipends for:

• Health & Wellness

• Home Office Setup

• Cell Phone & Internet

• Learning & Development

• Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab's total rewards during your interview process.

In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

• The typical starting salary range for this role is:

$114,000 - $137,700

• The typical starting salary range for this role in the select locations listed is:

$126,000 - $153,000

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We're looking for a Partner Solutions Architect to join the Field Engineering team and help scale dbt's partner go-to-market motion across North America. This role is focused on building technical and commercial momentum with both consulting and technology partners.

As a Partner Solutions Architect, you will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud. Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing.

Responsibilities

• Partner closely with North America Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.
• Build trusted technical relationships with partner architects, sellers, and practice leaders
• Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness
• Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline
• Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption
• Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, lunch-and-learns, hands-on labs, and local field events
• Equip partner teams with the technical messaging, demo narratives, architectures, and customer use cases needed to position dbt effectively
• Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts
• Act as a technical bridge between partners and dbt Product / Engineering by surfacing integration gaps, field feedback, competitive insights, and roadmap opportunities
• Serve as an internal subject matter expert on dbt’s major technology partner ecosystem, especially Snowflake, Databricks, and Google Cloud
• Contribute to the scale motion by helping build collateral, playbooks, enablement assets, and best practices that raise the bar across the broader Partner SA function

Requirements

• 5+ years of experience in solutions architecture, sales engineering, consulting, partner engineering, or another customer-facing technical role in data and analytics
• Strong hands-on background in SQL, data modeling, analytics engineering, and modern data platforms
• Ability to clearly explain modern data stack architectures and how dbt fits across warehouses, lakehouses, semantic layers, and AI-oriented workflows
• Experience translating technical capabilities into clear business value for both technical and non-technical audiences
• Comfort operating in highly cross-functional environments across Sales, Partnerships, Product, and Marketing
• Strong presentation, workshop, and facilitation skills, including external enablement and customer-facing sessions
• Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders
• Experience supporting complex enterprise buying motions, proof-of-value work, or partner-influenced sales cycles
• Strong written communication skills for building collateral, technical narratives, and partner-facing content
• A collaborative mindset and a desire to help scale best practices across a growing team

What will make you stand out

• Experience working directly in partner, alliance, or ecosystem roles
• Experience with Snowflake, Databricks, BigQuery / Google Cloud, AWS, or Microsoft Fabric in a GTM or solutions context
• Experience enabling systems integrators, consulting firms, or technology partner field teams
• Familiarity with cloud marketplace motions, co-sell programs, and partner-sourced pipeline generation
• Prior experience with dbt, analytics engineering workflows, or adjacent tooling in transformation, orchestration, governance, or metadata
• Strong instincts for identifying repeatable plays that connect enablement activity to measurable pipeline outcomes
• Ability to influence both strategy and execution, from partner messaging and field enablement to product feedback and GTM refinement
• A track record of building credibility quickly with partner sellers, partner architects, and internal field teams

Benefits

• Unlimited vacation (and yes we use it!)
• Pension coverage
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

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Key responsibilities include:

• Serving as a project manager/on-site lead working directly with US military, DHS, and allied customers to deliver Anduril's radar and integrated sensor capabilities across multiple locations
• Leading a small team of engineers through site standups from initial radar integration through operational acceptance while interfacing with strategic end-users throughout the process
• Monitoring radar system performance, connectivity, integration with mesh networks, and fusion with other sensors (EO/IR, RF) and C2 systems at distributed sites and with partner organisations
• Gathering, triaging, and prioritising user feedback on radar detection performance, tracking accuracy, classification capabilities, issues, and errors found during fielding, testing, exercises, and normal use within operational schedules
• Providing input to account and engineering teams on radar features, detection algorithms, and UI/UX improvements that enhance or greatly improve efficiency of operator workflows
• Supporting engagement with other units, commands, and organisations for increased deployment and installation of our radar systems across military installations, critical infrastructure sites, and forward operating locations

Requirements include:

• 5+ years of experience and a Bachelor's degree in electrical engineering, electronics engineering, computer engineering or related field
• Willingness to travel 50% - 75%
• Eligibility to obtain and maintain an active US Secret security clearance

Preferred qualifications include familiarity and experience working with materiel leadership or mission partners within Army Air & Missile Defense, USMC Ground Based Air Defence, SOCOM, DHS CBP, or allied defence organisations and working knowledge of the counter-UAS and air surveillance competitive landscape.

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We're looking for an Engineering Manager – Electrical Engineering to lead a team of talented engineers developing and integrating the avionics and electrical systems that power our next-generation aircraft, X-BAT. This role is ideal for a hands-on technical leader who thrives in fast-paced environments, enjoys mentoring engineers, and is passionate about delivering reliable, high-performance systems from concept through production.

Responsibilities:

• Lead aircraft and ground vehicle integration of custom electronics, sensors, actuators, payloads, and other flight critical sub-systems
• Demonstrate cross-functional ownership engaging with all X-BAT teams, including manufacturing, operators, supplier development engineering, supply chain, mechanical, thermal, etc.
• Contribute to aircraft and ground vehicle architecture design
• Drive design and execution of flight critical custom avionics
• Build, lead, and mentor a world-class avionics engineering team
• Establish and enforce appropriate design processes
• Maintain technical excellence,implement rigorous design processes and ensure compliance with industry standards
• Work in a fast-paced environment

Requirements:

• 5+ years of experience as an Electrical Engineer
• 3+ years of lead/manager experience
• Strong technical fundamentals
• Experience with custom electronics design and system level integration

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The ideal candidate will possess deep expertise in integrating mechanical, electronic, and software systems into complex optical products. This role will involve leading the design and development of high-performance optical devices from concept through production, ensuring precision, reliability, and manufacturability.

Responsibilities:

• Lead the mechanical and electromechanical design of complex optical systems.
• Collaborate closely with optical, electrical, and software engineers and suppliers to ensure system-level integration and performance optimization.
• Conduct tolerance analysis, thermal and vibration studies to ensure optical alignment stability and reliability.
• Support prototype build, testing, and design iteration cycles.

• Design and integrate sensors, control systems, and embedded components to enable automated alignment, focusing, and calibration of optical systems.
• Develop and refine feedback and control algorithms for mechatronic subsystems.

• Serve as a technical lead in cross-functional teams, guiding junior engineers and technicians.
• Define system requirements, design specifications, and validation protocols for mechatronic subsystems.
• Interface with manufacturing and supply chain teams to support design-for-manufacturing (DFM) and design-for-assembly (DFA) initiatives.

• Design and oversee qualification testing of mechatronic components and optical assemblies.
• Implement quality and reliability assessments throughout the design cycle.

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Behind many of life's most important transactions , buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card , is a network of credit relationships. Setpoint provides critical infrastructure for relationships between the world's largest banks, credit funds and capital markets counterparties.

We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products. This is a hands-on role where you'll design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes.

Responsibilities

• Own end-to-end implementations for the data products for our external customers.
• Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
• Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
• Prototype new data products to add to our product suite.
• Collaborate with engineering to drive the roadmap for the data products.
• Use GitHub-based workflows to maintain clean, version-controlled analytics code.
• Act as a subject matter expert for analytics best practices.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or a similar technical role.
• Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
• Strong experience designing, implementing, and maintaining data pipelines and models.
• Experience in a customer-facing role, working with technical and business stakeholders.
• Experience working with asset managers, business owners, or financial services data sets is a plus.
• Excellent problem-solving, communication, and collaboration skills.

Benefits

• Competitive salaries
• Stock options
• Medical, dental, and vision coverage
• 401(k)
• Short term and long term disability coverage
• Flexible vacation

Compensation

$150,000 - $170,000 OTE dependent on multiple factors, which may include the candidate's skills, experience, location, and other qualifications.

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This is the founding hire for product analytics at Hebbia. As a data scientist, you will define what our core product metrics are: what counts as an active user, what engagement actually means, what signals correlate with retention.

This is not a dashboarding role. The goal is to shape product decisions with data, not just report on them. You will identify which workflows drive repeat usage, where users drop off, what features move engagement, and what differentiates power users from casual users across our enterprise customer base.

The role sits at the intersection of analytics engineering, product analytics, and data science. You will build the infrastructure and do the analysis. Define the metrics, build the pipelines, create the dashboards, and use what you built to inform the roadmap.

Responsibilities

• Define and implement Hebbia's core product metrics from scratch: active users, engagement, retention, feature adoption, account health. Build the canonical definitions the entire company uses.
• Design and build the product analytics infrastructure: fact tables, clean data models, and the analytics layer that sits on top of our product data.
• Build and maintain executive and product dashboards that leadership and product teams use to make decisions.
• Write DAGs, transforms, and data pipelines that support analytics. Work with engineering to instrument the product so usage data is captured correctly.
• Analyze customer behavior across our B2B customer base: account-level usage patterns, workflow adoption, expansion signals, and churn risk indicators.
• Inform the product roadmap using data. Identify friction in user flows, surface feature adoption patterns, and highlight opportunities for product improvement.
• Partner with product managers and engineers to translate product questions into measurable data and structured experiments.
• Establish data quality standards and documentation so the metrics layer you build is trusted and maintained.

Who You Are

• 3+ years of experience in product analytics, analytics engineering, or data science at a B2B SaaS company or high-growth startup
• Strong in SQL and Python. You can write production-quality transforms, not just ad hoc queries.
• Experience with modern data stack tools: dbt, Airflow, Snowflake, BigQuery, or similar. You understand data modeling and warehouse architecture.
• You have built dashboards and reporting that product teams and leadership actually use to make decisions
• You understand B2B product analytics: account-level metrics, multi-user workflows, enterprise engagement patterns, and why B2B retention analysis is different from consumer
• You translate ambiguous product questions into structured analyses. You do not wait for someone to hand you a spec.
• Strong product intuition. You care about why users behave the way they do, not just what the numbers say.
• Clear communicator. You can present findings to engineers, product managers, and executives with equal effectiveness.

Compensation

The salary range for this position is set between $180,000 to $260,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications.

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Job Description

As an experienced Analog Layout Senior Engineer, you will work on custom layout Analog IPs like High Speed IOs, PLL, DLL, Bandgap, High Speed macros for PHY, Clock trees. You will floor plan, power design, signal routing strategy, EMIR awareness, and parasitic optimization for layout blocks from schematics. You will apply Analog Layout techniques to ensure design meets performance with minimum area and good yield. You will build and enhance layout flow for faster, higher quality design processes.

Responsibilities

• Work on custom layout Analog IPs like High Speed IOs, PLL, DLL, Bandgap, High Speed macros for PHY, Clock trees.
• Floor plan, power design, signal routing strategy, EMIR awareness, and parasitic optimization for layout blocks from schematics.
• Apply Analog Layout techniques to ensure design meets performance with minimum area and good yield.
• Build and enhance layout flow for faster, higher quality design processes.
• Perform layout verification for DRC/LVS/ERC/ANT/ESD/DFM.
• Conduct PERC verification for ESD/LUP checks.
• Complete all design quality checks and data quality checks.
• Collaborate with Place and Route engineers to integrate analog layouts into the top level.
• Work with the Package team to ensure the integration of top die and package.
• Participate in design reviews across the global team.
• Engage in package design, including interposer and RDL design.
• Collaborate closely with design teams in Vietnam, USA, Canada, and other countries to ensure the success of the whole product.
• Join research programs to implement new ideas for future products and flows.
• Lead a layout team to complete a full design block.
• Mentor junior layout engineers or interns.

Impact

• Drive the development of high-performance Analog IPs that power cutting-edge technologies.
• Enhance the layout design process for improved efficiency and quality.
• Ensure the robustness and reliability of our designs through meticulous verification processes.
• Contribute to the integration of complex layouts into top-level designs.
• Foster collaboration and knowledge sharing across global teams.
• Mentor and develop the next generation of layout engineers.

Requirements

• BS in Electronics Engineering, Electromechanics, Telecommunications.
• 2+ years of experience in custom layout.
• Proficiency with layout entry tools: Cadence, Synopsys.
• Experience with layout verification tools: Mentor Calibre, Synopsys ICV.
• Understanding of basic semiconductor fabrication processes and MOSFET fundamentals.
• Knowledge of high-speed layout techniques, ESD, Latchup, Antenna, EMIR.
• Experience mentoring/leading junior layout engineers.
• Ability to write layout review presentations and layout verification reports.
• Good English communication skills.

Team

You will join a dynamic and innovative team focused on developing high-performance Analog IPs. Our team collaborates closely with colleagues in Vietnam, USA, Canada, and other countries to ensure the success of our products. We value teamwork, knowledge sharing, and continuous improvement, and we are committed to fostering a supportive and inclusive work environment.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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You'll work with our product owners to define features and requirements, produce system-level designs including selection of key technologies and components, then go on to design the schematics and PCBs.

You'll be responsible for planning your work and delivering against production schedules - this means strong analytical and estimation skills, and the ability to communicate effectively with technical and non-technical peers.

You'll spend a lot of your time designing and debugging hardware, so systematic measurement, analysis and fault-finding skills are essential.

Signal integrity, EMC and analogue debugging experience are also highly desirable.

You'll contribute to our roadmaps, helping determine what products we deliver and how we deliver them - this means seeing the big-picture and understanding our products, market and customers.

You'll be working with a team of experienced engineers who are on hand to support you in a friendly, social and inclusive environment where our shared passion for music and music tech is front and centre.

About you:

You bring energy, technical acumen, and a proven track record.

You've been responsible for delivering successful products to market in music tech, consumer electronics or a similar industry.

You're a proactive and pragmatic problem solver, able to find creative solutions to problems that others didn't see coming.

You're decisive, you back yourself, and you're able to bring others along with you.

You build strong working relationships with your peers; you support and mentor others and know when to seek support yourself.

You think strategically and can work across multiple projects while still diving down into detail.

Most importantly of all, you love what you do - designing and shipping products that help millions of people make music.

Required skills and experience – you should apply for this role if you have:

• A degree or HND in Electronics Engineering (or related subject).

• Taken ownership of commercial designs throughout the full development process and delivered them successfully.

• Experience of designing hardware that balances quality, cost and time to market.

• The ability to plan and deliver to deadlines, learning and applying new skills quickly.

Technical knowledge we're looking for:

• Analogue electronics for audio applications (low-noise design, signal processing).

• High speed digital interfaces (e.g. SDRAM, I2S, USB, RGMII).

• Linear and switching power supply design, PMICs, USB PD.

• Embedded systems.

Further desirable experience:

• Design of products for high-volume mass production.

• Design and debug for EMCD and RED approvals.

• An active interest in making music and music technology.

• Working with ODM/JDM/CDS models.

• Altium Designer (schematic and PCB layout)

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Responsibilities

• Design next-generation automotive ECUs, inverters, and BMS, including schematic, simulation, thermal analysis, PCB layout, circuit tolerance, worst-case analysis, and signal integrity analysis.
• Design analog circuits using op-amps, logic gates, analog/digital sensors, signal isolators, transceivers, MCUs, and PMICs.
• Design switch mode power supplies (Buck, Boost, SEPIC, Flyback, etc.).
• Define hardware-software and communication interfaces (CAN, LIN, etc.), specifying component sourcing activities.
• Support lab tests, debug, and validation activities.
• Support project and quality management activities.

Requirements

• Bachelor's degree in Electrical/Electronics, Mechatronics Engineering.
• Minimum 2 years of experience in related areas.
• Experience with analog and digital hardware design.
• Experience with analog circuit simulation and analysis using LTspice or similar SPICE software.
• Experience with Altium Designer or similar PCB design software.
• Experience with lab equipment and testing.
• Fluent speaking and excellent writing skills in English.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a leading mobility technology company.
• Collaborative and dynamic work environment.
• Professional development and growth opportunities.

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Full Time

Frankfurt, Germany

Experienced Professional

February 19, 2026

Job Description

Join Hyundai Motorsport GmbH as a Vehicle Dynamics Engineer and contribute to the cutting-edge world of automotive engineering in Frankfurt, Germany. As a key player in our engineering team, you will be responsible for optimizing vehicle performance through advanced dynamics analysis and testing. Your expertise will drive the development of high-performance vehicles, ensuring they meet the rigorous standards of the auto industry.

• Conduct comprehensive vehicle dynamics simulations and analyses to enhance performance and safety.
• Collaborate with cross-functional teams to integrate dynamics solutions into vehicle design and development.
• Develop and validate vehicle models to predict performance outcomes accurately.
• Perform track testing and data analysis to refine vehicle dynamics and handling characteristics.
• Provide technical guidance and support to engineering teams on dynamics-related projects.
• Continuously research and implement the latest technologies and methodologies in vehicle dynamics.

Required Profile

We are seeking an experienced professional with a passion for automotive engineering and a strong background in vehicle dynamics. The ideal candidate will possess the following skills and qualifications:

• Professional experience in vehicle dynamics engineering, preferably within the auto industry.
• Strong analytical skills with proficiency in dynamics simulation tools and software.
• Solid understanding of vehicle dynamics principles and their application in real-world scenarios.
• Experience in data analysis and interpretation from track testing and simulations.
• Excellent problem-solving abilities and attention to detail.
• Effective communication skills and ability to work collaboratively in a team environment.
• Fluency in English; additional language skills are a plus.

Offer

At Hyundai Motorsport GmbH, we value our employees and offer a comprehensive benefits package to support your professional and personal growth:

• Competitive salary and performance-based incentives.
• Opportunities for career advancement and professional development.
• Access to state-of-the-art facilities and cutting-edge technology.
• Collaborative and dynamic work environment.
• Comprehensive health and wellness benefits.
• Generous vacation and leave policies.
• Employee discounts on Hyundai vehicles and products.

https://motorsporthyundai.career.softgarden.de/jobs/62970499/Vehicle-Dynamics-Engineer/

Vehicle Dynamics Engineer

Full Time

Offer

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What you'll do

Take an active, hands-on role in the development of On-Board Charger systems

Support system engineering activities from concept to SOP

Define, manage, and maintain system requirements & specifications

Design and align system architecture, interfaces, and integration concepts

Collaborate closely with hardware, software, and validation teams

Drive technical discussions with customers and support decision-making on OBC concepts and system-level trade-offs

Support problem analysis, root-cause investigations, and solution implementation

Contribute to robust, production-ready OBC solutions

What you need

• Bachelor’s degree in Electrical/Electronics/Controls/Mechatronics Engineering, and preferably, Master’s or PhD

• 2+ years of hands-on experience in OBC or AC/DC power electronics systems

• Series development & SOP experience in automotive projects

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What you'll do

Meet customer expectations by establishing and leading systems that develop, implement, confirm and sustain welding processes which ensure white body structural integrity through New Model and Mass Production to maintain and improve SQCDME characteristics and meet business plan goals.

What you need

• Bachelor's Degree in Engineering and 2 years engineering experience
• OR Associate's Degree in Engineering and 6 years engineering experience
• OR High School Diploma and 8 years engineering experience

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