Top Engineering Jobs

Investigate and resolve customer-impacting issues in Python services as a Tier-IV technical escalation point. Analyze distributed systems, databases, messaging, infrastructure, UI, and performance; lead root-cause analysis with engineering and infrastructure teams; and provide technical guidance and training to internal teams.

Tenure-track Assistant Professor responsible for teaching in an engineering or science discipline, conducting multidisciplinary research in model-based systems engineering or applied AI and machine learning, securing external research funding, supervising graduate students, and contributing university and professional service.

Designs, develops, maintains, and supports integrations between SAP Business Suite and external systems. Builds interfaces using SAP PI/PO, APIs, REST, SOAP, OData, XML, JSON, IDoc, RFC, and BAPI; creates mappings, transformations, routing, and interface configurations. Troubleshoots failures and performance issues, monitors data exchange, supports testing and deployment, documents integration architecture, and collaborates with SAP functional, business, and external application teams.

Design, build, test, deploy, and support scalable backend applications across the full software development lifecycle. Collaborate with product, UX, nutrition, vendors, and business stakeholders to define solutions and interfaces. Solve complex architectural problems, refactor code, mentor engineers, communicate technical direction, and develop distributed systems using cloud, big-data, and backend technologies.

Develop and test embedded software for autonomous medical devices, robotic tissue-sectioning systems, and vision systems. Responsibilities include driver development for motors, cameras, scanners, and PLCs; control algorithms for mechatronic systems; software documentation; and unit testing. The role collaborates with mechanical, electrical, and optics engineers and requires experience with C/C++, Python, Linux, real-time systems, hardware interfaces, and industrial protocols.

Develop and deploy reinforcement learning and imitation learning policies for whole-body humanoid locomotion and manipulation. Build high-fidelity simulation environments, improve sim-to-real transfer, conduct experiments, evaluate models, write reusable code, contribute to publications, and deliver policies to production customer sites. The role spans robotics research, computer vision, model development, and end-to-end deployment.

Build AI-powered code review features involving LLM memory, multi-language codebase indexing, semantic search, autonomous testing, and deployment. Design, implement, test, and deploy full-stack features; gather user feedback; lead cross-team initiatives; establish architecture and technical standards; build shared platforms and infrastructure; and manage scaling, incidents, security, and compliance risks.

Lead zero-to-one product development while shaping Unify’s product roadmap and engineering foundation. Build scalable AI-powered products using TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, and LLMs. Evaluate technology platforms and vendors, establish engineering standards, manage infrastructure, deliver high-quality products at scale, and mentor multiple engineers while collaborating closely with founders, product, design, and engineering teams.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Develop and maintain customer-facing and internal APIs for large location-intelligence datasets. Translate business needs into technical solutions, design Snowflake data structures and efficient SQL queries, build tested applications, document systems, and support production deployments. Collaborate with product and engineering teams, use AWS and multiple programming languages, create data visualizations, participate in Agile development and on-call rotations, and apply generative AI while maintaining security and privacy standards.