Role Description The Architecture & ML Integration (AMI) team sits within SIML and focuses on horizontal, cross-cutting challenges spanning Waymo's end-to-end system. Our mission is to enable rapid evolution towards an ML-first architecture that is modular, flexible, and easy to experiment with. We do this by improving onboard software architecture, system debuggability, and developer experience through better API designs and comprehensive pipelines. The AMI team drives the convergence of Planner and Perception systems and tackles critical shared infrastructure components. You will: - Have 8+ years of professional software development experience on large scale products. - Lead the software architecture and infrastructure development for onboard model consolidation across many onboard subsystems. - Design and build an onboard framework to support flexible and efficient model integration and inference in Waymo’s onboard and simulation environments. - Spearhead the alignment and unification of model’s data generation subsystem between model training data preparation and model inference. - Develop Simulation solutions to enable robust testing and efficient evaluation/validation to enable good developer experience for consolidated model development. - Embedded deeply with model teams to drive the productionization of unified models. - Establish new software development best practices and technologies to accelerate model development and releases. Qualifications - BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience). - Extensive experience designing and building large-scale, high-performance C++ software architecture for mission-critical systems or ML inference. - Proven track record of leading complex, cross-functional engineering projects as a technical lead. - Deep understanding of ML deployment, inference frameworks, and associated developer tooling. - Good communication and collaboration skills working with cross-org partner teams. Requirements - Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field. - Experience with data pipelines and feature extraction for machine learning models. - Prior experience in the autonomous driving industry, particularly focusing on onboard compute, perception, or planning systems. - Experience with hardware accelerators (e.g., TPUs, GPUs) and ML models inference in edge/onboard environments. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is: $251,000 — $310,000 USD

Role Description - Programmieren von Werkzeugmaschinen Maschinenunabhängig auf Basis von 3D-Daten - Programmieren von 3- und 5-Achs-Bearbeitungszentren - Qualitätskontrolle der CAM-Programme - Überwachen, Fehler beseitigen und Optimieren der Produktionsprozesse - Weiterentwickeln der bestehenden CAM-Prozessketten, Digitalisierung und Vernetzung von Prozessen - Einhalten von Kundenanforderungen und gesetzlichen Vorgaben in den Fertigungsbereichen (z.B. Arbeitsschutz und Umweltschutz) - Unterstützen der Maschinenbediener durch Technologie im Bedarfsfall Qualifications - Weiterführendes Denken und Entwickeln der Fertigung zur Erreichung der Gesamtstrategie - Fortlaufende Verbesserung der CAM-Fertigungs- und Werkzeugtechnologie - Unterstützung der Entwicklung eines standardisierten CAM-Systems und der Programmierung - Effektive Anwendung und kontinuierliche Weiterentwicklung des eigenen Fachwissens - Mitarbeit an der Verbesserung der Produktivität von Maschinen und Anlagen durch kontinuierlichen Verbesserungsprozess (KVP) - Interesse an Weiterbildung und kontinuierlicher beruflicher Weiterentwicklung Requirements - Familiäres Umfeld - Flexibilität (36 oder 40 Wochenstunden, Gleitzeit, kurzfristig frei machen) - Homeoffice nach Möglichkeit / Option auf Remote - Dienstreisen nur auf Wunsch - Innovativ (moderne Produktionstechnik, Beteiligung an Forschungsprojekten KI) - Firmenevents, Abteilungsevents, Weihnachtsfeiern, Messebesuche - Fort- und Weiterbildungsmöglichkeiten - Gute Aufstiegsmöglichkeiten in einem stetig wachsenden Unternehmen - Kostenlose Deutschkurse Inhouse - Arbeitskleidung Benefits - Attraktive Vergütung: Übertarifliche Bezahlung - Urlaubsanspruch: Bis zu 30 Tage Urlaub je nach Betriebszugehörigkeit - Urlaubs- und Weihnachtsgeld: nach Tarifvertrag - Zuverlässigkeit: Transparente Beratung und pünktliche Bezahlung - Stabilität: Langfristiger Einsatz mit Option auf Übernahme - Mitarbeiter werben Mitarbeiter: 200 € Prämie bei Werbung neuer Mitarbeiter

Role Description We’re building ProNexus: the all-in-one platform for sourcing human intelligence with AI. Consulting and research teams rely on human experts for primary research—finding them, vetting them, scheduling them, capturing insights, and turning those insights into reusable knowledge. Today that work is fragmented across inboxes, spreadsheets, CRMs, and manual workflows. ProNexus brings it together: AI-powered sourcing + outreach workflows + expert/CRM management + project execution + an “org memory layer” where insights compound over time instead of getting lost in decks and docs. Right now it’s two founders. We’re looking for a Gen AI/Backend Software Engineer Intern (Python) who wants to ship production code, learn fast, and take real ownership—without “intern busywork.” This internship is for you if… - You’ve built backend systems in Python and want to go deeper. - You’re excited about GenAI + agent workflows and can write strong prompts / schemas to get reliable outputs. - You like building one-off AI agents for specific workflows (extract → classify → enrich → route) and iterating until they’re dependable. - You ship fast, unblock yourself, and don’t need hand-holding to make progress. - You enjoy a tight feedback loop with founders and real users. What you’ll do: - Build and ship backend features end-to-end (API → DB → integrations). - Implement and improve FastAPI endpoints, background jobs, and core services. - Work with Postgres (Supabase): schema changes, queries, performance, data integrity. - Integrate external systems (e.g., enrichment providers, outreach tooling, internal workflows). - Help us build one-off AI agents that automate internal + customer workflows (e.g., sourcing support, enrichment, summarization, extraction, classification, routing). - Write and iterate on prompts, few-shot examples, and structured outputs (JSON schemas) to make agent behavior consistent. - Improve agent quality with lightweight evals: small test sets, edge cases, regression checks, and prompt/version tracking. - Add tests, logging, and basic observability so we can move fast without breaking things. Qualifications - Strong Python fundamentals (clean code, typing hygiene, debugging ability). - Comfortable with HTTP APIs, JSON, auth patterns, and database-backed systems. - Strong interest in GenAI / prompt engineering, with experience building LLM-powered features (projects are totally fine). - Some experience shipping something real (project, internship, open source, production app). Location / Schedule - Remote - This is a fast-moving team—best for someone who can commit meaningful hours consistently.

• TRIRIGA Platform Development: Configure and develop solutions using IBM TRIRIGA Application Builder, UX Designer, and Application Administration tools. • Design and implement business objects, forms, workflows, state transitions, and notifications. • Configure and maintain TRIRIGA Integration Objects (IO), DataConnect, and ETL processes. • Support application upgrades, deployments, and environment management activities. • Configure and support Lease Administration modules within TRIRIGA. • Manage lease critical dates, payment schedules, rent escalations, renewals, and compliance tracking. • Collaborate with business stakeholders to gather and translate real estate and lease management requirements into TRIRIGA solutions. • Develop and maintain BIRT reports and custom reporting solutions. • Configure KPIs, scorecards, and operational dashboards. • Support data extraction, analysis, and reporting requirements across Real Estate and Facilities functions. • Design and support integrations between TRIRIGA and external enterprise systems. • Troubleshoot data synchronization and integration issues. • Support data migration, validation, and reconciliation activities.