Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models.

We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models.

Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an interdisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application

Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location

Preferred skills - Translational experience with mRNA, oligonucleotides, or other genetic medicines - Expertise in immunology and/or cell therapy - Hands-on experience in RNA biology and biochemistry - Scientific programming in Python - Hands-on experience with modern data engineering workflows

Compensation $245K – $305K + Bonus + Equity

What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone - A buddy to help you get settled *Varies by country and does not apply to internships

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This role requires operational excellence combined with technical hands-on execution, and is a great fit for someone who wants to apply those skills in a high-impact, fast-growth context.

Responsibilities:

Data Opportunity Assessment and Processing

• Analyze and review incoming or prospective data to verify it is useful and strategic for Anthropic
• Own and maintain Python-based ETL pipelines that process large partner datasets, applying filtering criteria and deduplicating against existing data
• Write and optimize SQL queries against large relational databases to support filtering and analysis workflows
• Refine processing logic as requirements evolve across new data types and formats

Data Delivery Infrastructure, Tooling, and Support

• Own end-to-end data delivery workflows, ensuring data moves seamlessly from partners to internal teams to accelerate time-to-impact
• Manage AWS and GCP resources for receiving and organizing partner data deliveries
• Troubleshoot delivery issues and coordinate with partners on formatting and transfer protocols and resolve technical escalations from partners and internal teams
• Build and maintain internal systems, scripts, and automation that support the team’s workflows
• Support occasional research evaluation tasks as needed

Data Operations and Governance

• Develop and maintain Anthropic's preferred standards for receiving, consuming and cataloging data, ensuring alignment with Product and Engineering's evolving needs
• Contribute to systems for monitoring data usage and compliance with partner agreements
• Partner with teammates and cross-functional stakeholders to build out governance practices as the team scales

You May Be a Good Fit If You

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
• 5-7+ years of experience with data pipelines or data engineering workflows
• Background in solutions engineering, partner engineering or related role at a large tech company
• 5+ years of experience in technical troubleshooting or writing code in one or more programming languages
• Proficiency in Python and SQL, including writing, debugging, and optimizing scripts and queries against large datasets
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including managing storage, configuring access, and working from the CLI
• Excellent problem-solving skills with a track record of debugging technical issues, whether at the code level or within a broader system
• Some experience interacting with external third parties delivering data

Strong Candidates Will Have

• Experience working alongside technical teams (research, engineering, or product) to solve ambiguous problems
• Ability to translate technical concepts into clear, actionable guidance for non-technical stakeholders or external partners
• Experience owning or maintaining a production service or system with uptime expectations
• Familiarity with data governance, compliance, or rights management
• Ability to manage multiple, time-sensitive projects simultaneously and the drive to take a project from an initial idea to full completion
• Experience leveraging AI to automate workflows

Candidates Need Not Have

• Deep expertise in AI or machine learning
• A pure software engineering background

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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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You will own and shape the architecture of Reddit's Android Mobile App that will scale us to the next 100M+ DAUs. Propose ideas/solutions to make Android at Reddit best-in-class.

Improve Android developer experience by designing tools, workflows, and CI integrations that make it fast and safe to develop, test, and release code.

Define and operationalize guardrails (lint/static analysis, tests, and AI-assisted reviews) that catch common issues early.

Build and evolve Android client health and observability foundations (events, traces, dashboards) so teams can improve user experiences.

Apply AI thoughtfully to engineering workflows (e.g., code review, static analysis, CI checks) for improved developer productivity and/or user experiences.

Mentor and Support Android engineers through design reviews, documentation, and education on platform capabilities, observability, and best practices.

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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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This is a role that sits at the intersection of product thinking, service design, and cross-functional influence. You will design, manage, and enable the services that move customers forward at every stage of that journey.

Your responsibilities will include:

• Owning the end-to-end service portfolio for your assigned product area , offer design, pricing, BOM standards, lifecycle management, field enablement, and sunset decisions
• Mapping and continuously refining the complete customer journey for your product area, defining how customers are guided across scaled digital motions, Customer Success Tiers, Professional Services, and Education and Training
• Defining measurable customer outcomes and value anchors for each offering, ensuring every service can clearly articulate what success looks like and how it is verified
• Acting as product manager for your product area tooling requirements into the CX Engineering Platform team , writing requirements, reviewing prototypes, managing a backlog, and conducting UAT
• Partnering with PS Engineers, Customer Success, Project Managers, and Solution Architects to gather field input and translate it into refined or net-new service offerings
• Building and maintaining relationships with stakeholders across the full organizational range , from PSEs and CSMs who deliver your services in the field, through to VP-level PS and CS leadership and C-suite executives
• Collaborating with your peers across the CX Services Portfolio team to design consistent customer experiences and ensure services are properly sequenced across the customer lifecycle
• Creating and maintaining field enablement materials , playbooks, objection handling guides, Highspot pages, talk tracks, and training sessions , for CSMs, CSAs, PSEs, and AEs
• Using AI tools actively in your daily workflow to accelerate research, drafting, synthesis, and requirement writing , and contributing what you learn to the team shared AI practice

To succeed in this role, you will need:

• 7+ years of experience in professional services, customer success, solutions architecture, or product management at a SaaS company
• Demonstrated experience designing or managing service offerings , not just delivering them. You have written a scope of work, defined pricing, and built a delivery kit
• Strong understanding of DevOps, application development, SDLC, or security domains , you do not need GitLab product knowledge on day one, but you need the technical foundation to develop it quickly
• Technical depth sufficient to design credible services. You do not need to have delivered these engagements yourself, but you need to understand them well enough that the practitioners who do will trust your judgment
• Deep familiarity with AI/ML engineering workflows, LLM capabilities, and agentic systems , and the organizational change management required for enterprise AI adoption
• A demonstrated AI-forward working style , you actively use agentic coding and AI tools as part of your daily workflow. You have formed opinions about how these tools change the way you work, and you can walk us through a specific workflow you have built or discovered that materially changed your output quality or speed
• Proven ability to build trust and communicate effectively across the full stakeholder range , individual contributors, managers, directors, VPs, and C-suite , in a remote, async-first environment
• Commercial acumen: fluency in how professional services and subscription services are priced, packaged, and sold in an enterprise context
• Strong written communication skills: you can produce clear, concise, and compelling content that resonates with diverse audiences

If you're passionate about designing and delivering exceptional customer experiences, and you have a strong background in professional services, customer success, or product management, we encourage you to apply for this exciting opportunity.

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Reporting to the Head of Customer Success & Delivery, this role will own how customers integrate with the Zus platform. They’ll be responsible for ensuring healthcare organisations and digital health builders can reliably ingest data, connect EHR systems, and deploy applications powered by Zus APIs.

This leader will oversee teams responsible for forward deployment engineering, and technical enablement, working closely with customer engineering teams to integrate Zus into production environments and connect to data networks.

You will guide customers through the complexity of healthcare interoperability, helping them translate real-world workflows into scalable integrations built on Zus.

This is a hands-on player-coach role. You will lead the team while also personally engaging in complex implementations, architecture discussions, and customer deployments.

You will champion the use of AI tools, automation frameworks, and reusable integration patterns to dramatically improve how quickly and reliably customers connect to the Zus platform.

The ideal candidate combines deep experience in healthcare interoperability, enterprise software implementations, API platforms, and AI-enabled engineering workflows with the leadership skills required to scale a delivery organisation.

Key responsibilities:

• Lead implementation and technical delivery - Own the technical delivery lifecycle following contract signature through production deployment and early adoption
• Lead and grow a team of Solutions Engineers and Forward Deployed Engineers - Develop career paths, performance expectations, and development plans for the team to ensure excellent execution of goals
• Ensure consistent, high-quality execution across multiple concurrent enterprise implementations
• Establish best practices for onboarding, implementation, integration, and go-live readiness
• Set customers up for success across multiple different high priority use cases
• Ensure customers achieve rapid time-to-value from the Zus platform

Act as player-coach for complex implementations - Personally engage on strategic or technically complex customer deployments

Guide integrations involving FHIR, HL7, CCD, APIs, SFTP pipelines, and EHR platforms

Troubleshoot complex interoperability and data pipeline issues

Work directly with engineering teams to deploy and operationalize Zus products

Serve as a trusted technical advisor to customer technical and operational stakeholders

Drive forward deployed engineering - Support customers in building production-grade applications and workflows on top of Zus APIs

Help customers operationalize clinical and operational data across care delivery workflows

Lead the development of reference architectures and deployment patterns

Identify integration opportunities that accelerate product adoption and expansion

Delivery training and technical enablement - Oversee technical onboarding and training programs for new customers

Enable customer engineering and product teams to effectively build on the Zus platform

Develop documentation, workshops, and enablement resources for technical users

Drive AI-enabled implementation and automation - Lead the adoption of AI tools and automation frameworks across the delivery organisation

Identify opportunities to automate manual implementation work using LLMs, scripting, and developer tooling

Develop reusable automation patterns for all parts of the Zus ecosystem

Help customers leverage Zus data to power AI-enabled workflows and analytics applications

Partner with Product and Engineering - Translate customer implementation patterns into platform improvement

Participate in technical discussions to find reusable integration patterns that can be embedded directly into the Zus platform

Communicate customer needs to the Product & Engineering teams

You're a good fit because you have:

• 10+ years of experience in technical implementation, solutions engineering, systems integration, or professional services leadership, preferably in healthtech, SaaS, or enterprise software
• Proven experience leading customer-facing teams and scaling implementation or professional services functions
• Deep expertise in healthcare data interoperability, including FHIR, HL7, CCD, and EHR integrations
• Strong understanding of APIs, data ingestion pipelines (ETL, JSON, CSV), and modern data platforms (e.g., Snowflake)
• Experience designing scalable implementation frameworks and reusable integration patterns
• Familiarity with secure environments and compliance frameworks (HIPAA, SOC 2)
• Executive presence and the ability to build trust with both technical and non-technical stakeholders
• Strong strategic thinking paired with a willingness to dive into complex technical or delivery challenges when needed
• A self-starter mindset and comfort operating in a fast-paced, evolving startup environment
• Passion for improving healthcare through better access to and use of data
• Willingness to travel up to ~25% for customer engagements, industry events, and company meetings
• Bachelor’s degree in Business, Engineering, or a related field (advanced degree a plus)

Additional Information:

We will offer you...

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

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You will be the technical authority on hardware root of trust, secure boot, firmware integrity, embedded system hardening, and the security of third-party hardware integrations. Your work ensures that every component on the vessel is resilient against tampering, exploitation, and supply chain compromise, designed in from the start and maintained across the fleet lifecycle.

Key Responsibilities:

• Conduct hardware security assessments including fault injection, side-channel analysis, interface evaluation, and bus protocol analysis across Saronic-built and third-party hardware including sensors, radios, navigation systems, propulsion controllers, and communication modules

• Evaluate and harden physical interfaces, debug ports, maintenance access points, and removable media interfaces on vessel hardware

• Evaluate supply chain security risks for hardware components and recommend provenance validation, anti-tamper, and attestation controls

• Develop and maintain a hardware security testing capability including tooling, methodology, and repeatable test procedures

• Design and implement secure boot chains establishing hardware root of trust from power-on through application launch, integrating TPM, secure elements, and HSMs for device identity, key storage, measured boot, and remote attestation

• Design and implement secure firmware update mechanisms including signed updates, rollback protection, and verified delivery across the fleet

• Own the cryptographic key lifecycle for hardware-bound keys, including provisioning, rotation, revocation, and escrow

• Harden embedded Linux systems on vessel platforms, including kernel configuration, mandatory access controls, secure IPC, and attack surface reduction

• Secure operational technology protocols and interfaces used in vessel control systems, propulsion, navigation, and sensor fusion including CAN bus, NMEA, and maritime/industrial communication protocols

• Define security boundaries, trust zones, and segmentation strategies for vessel-internal compute and communication architectures

• Drive threat modeling across vessel hardware subsystems and translate findings into actionable engineering requirements

• Produce secure-by-design reference architectures and define hardware and firmware security standards, testing requirements, and acceptance criteria integrated into engineering workflows

Required Qualifications:

• 6+ years of hands-on experience in hardware security, embedded systems security, firmware security, or a closely related security engineering role

• Deep expertise in hardware hacking techniques including fault injection, side-channel attacks, JTAG/SWD exploitation, bus sniffing/injection, and physical security assessments

• Demonstrated experience designing and implementing secure boot chains, hardware root of trust, and secure firmware update mechanisms in production systems

• Strong experience assessing third-party hardware integrations and evaluating supply chain security risks

• Deep knowledge of embedded Linux security hardening, kernel security, and mandatory access control frameworks

• Experience with operational technology security, industrial protocols, or control system security

• Proficiency in C, C++, Python, or Rust in the context of firmware, embedded, or systems-level security work, and with hardware security testing tools

• Ability to obtain and maintain a security clearance

Preferred Qualifications:

• Experience in defense, aerospace, robotics, autonomy, maritime, or other high-assurance environments

• Experience with autonomous systems, unmanned vehicles, or safety-critical embedded platforms

• Experience with RTOS, microcontroller security, or resource-constrained device environments

• Knowledge of CAN bus, NMEA protocols, maritime communication systems, RF/GPS/GNSS security, or ICS security standards

• Familiarity with defense or safety-critical compliance frameworks (NIST SP 800-53, IEC 62443, Common Criteria, or equivalent)

• Relevant certifications such as OSEE, GXPN, GSE, or hardware-focused credentials

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You are an innovative engineer who loves turning complex, raw data into sleek, interactive web applications. With a solid foundation in computer science or engineering, your expertise lies in front-end development and software architecture. You know exactly what it takes to build industry-leading apps from the ground up,keeping them fast, secure, and easy to maintain. As a natural collaborator who leads by example, you enjoy solving tough technical puzzles alongside a diverse team. If you’re excited about bringing massive datasets to life visually and setting the technical bar for your peers, you’ll be right at home here.

Your responsibilities will include: Architecting, designing, and developing user-friendly web applications. Establishing and enforcing architectural best practices to ensure long-term codebase maintainability, robust security, and optimal rendering performance. Collaborating with cross-functional teams to gather requirements, optimize visualization workflows, and drive technical strategy. Implementing advanced data visualization features that enable engineers to interpret intricate, high-dimensional datasets efficiently. Leading initiatives to guarantee the high performance, scalability, and security of our web applications, including regular audits and bottleneck optimizations. Driving code reviews, debugging complex architectural issues, and troubleshooting to maintain rigorous software quality standards. Staying up-to-date with industry trends and integrating modern technologies to enhance user experience and architectural resilience. Documenting system architecture and providing extensive technical guidance and mentorship to junior and mid-level team members.

As a staff engineer, you will set the technical vision and architectural standards for our front-end web applications. You will empower engineering teams to make informed decisions by providing clear, actionable visual insights from complex data. You will accelerate innovation cycles by streamlining visual rendering and analysis of large-scale simulation datasets. You will enhance the usability and accessibility of complex engineering tools through intuitive web interfaces. You will help Synopsys maintain its leadership in engineering software by integrating state-of-the-art visualization techniques.

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You will study currently Informatik, Künstliche Intelligenz, Elektrotechnik, Physik, Maschinenbau or a comparable study program. You will bring practical experience in Python and AI/ML frameworks. You will have experience with LLMs, AI-agents, semantic analysis and techniques of natural language processing. First Full-Stack experience is an advantage. You will have a good understanding of technical data types and engineering workflows. Familiarity with containerization like Docker is an advantage. You will be able to express yourself in English, good to very good.

You will have a strong analytical and conceptual ability, especially when designing and implementing decision algorithms for data analysis.

You will have a valid matriculation at a university or be in a GAP year. You will start in March 2026 and work for 6 months. You will work 35 hours a week. You will need a valid residence permit with work permit.

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