Avionics Integration Manager

Lead and advance Tax Attribute program

Optimize tax determination and reporting solutions

Design and implement ArcGIS platform strategies

Define business continuity for deployments

Develop and deploy ML models using Python, R, or similar languages.

Manipulate large datasets with Python and SQL.

Extract data and build metrics and dashboards for KPIs

Share insights with internal/external customers

Guide customers and partners in designing scalable systems with MongoDB

Be a trusted advisor to startups and large enterprises

Develop and own scalable automation frameworks for vehicle software.

Build automated integration and end-to-end tests for SITL/HITL.

Drive and refine SRE practices

Design and implement observability solutions

Deploy ML risk solutions at scale

Lead technical decisions and influence strategy

Apply ML for impact and collaborate with cross-functional teams

Develop statistical, ML, or optimization models

Drive technical success post-sale

Implement and scale ML pipelines and GenAI workflows

Build and support high-performance data solutions

Tackle complex technical challenges in data engineering

Resolve player-impacting issues efficiently

Support live events and troubleshooting

Developing AI-driven code for internal applications

Collaborating with different departments for AI solution design

Own and scale the Tax Attribute program effectively

Integrate and optimize tax determination and reporting

Design tooling for researchers to deploy and evaluate models

Build and maintain high-performance, cost-efficient inference pipelines

Understand cloud environments and goals

Design scalable cost allocation and tagging

Drive SRE practices across services

Design/maintain end-to-end observability

Own the technical direction and roadmap for Agent SDK

Design reliable APIs for agents

Develop data integration solutions using a standard framework

Integrate data sources to support enterprise data management and analytics

Collaborate and mentor engineers

Drive technical execution for growth initiatives

Design and implement ArcGIS platform strategies

Define business continuity for deployments

Promote inclusive engineering culture

Participate in cross-functional agile projects

Lead AI opportunity discovery and translation

Design and prototype AI solutions

Fix performance issues and debug production problems

Develop new features for improved user experience

Lead and contribute to data engineering infra and pipelines

Manage a team of senior data engineers

Interact with public sector customers effectively

Collaborate to improve product features

Develop backend systems to transform raw scan data into 3D models

Build internal modeling tools for 3D data generation and optimization

Collaborate closely with product managers, designers, and mobile developers to establish and refine testing processes for iOS and Android applications.

Design and implement mobile UI automation tests that are resilient to UI changes.

Architect and build next-generation AI products

Lead and mentor engineering teams

Support AI research collaborations with leading labs

Validate algorithms and software concepts

Develop cutting-edge voice cloning technology

Implement low latency and cost-effective text-to-speech solutions

Lead Digital Forensics and Incident Response efforts at Dave

Establish core workflows and evolve SIEM capabilities

Analyze threat actor behavior and evolving abuse patterns.

Research, prototype, and implement state-of-the-art techniques for abuse detection.

Design and implement high-speed CI/CD pipelines

Lead Python packaging and Conda environments

Work on large-scale data systems and infrastructure

Enhance multimodal and semantic retrieval at scale

Contribute to roadmap and architecture based on tech and business needs

Write well-crafted, well-tested, readable, maintainable code

Design and run growth experiments

Collaborate with cross-functional teams

Lead software development projects effectively

Collaborate with cross-functional teams

Provide technical advisory to NS customers.

Collaborate with policy and sales teams.

Design, develop, and maintain CI/CD pipelines

Collaborate with software developers and cloud engineers

Build backend services for geospatial processing and automation

Develop APIs, proxies, and integration services

Lead and mentor a team of software engineers

Provide technical leadership on code quality and design

Develop AI model serving solutions using Python.

Work on backend development and deployment on cloud platforms like GCP and Kubernetes.

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Analyze threat actor behavior and abuse patterns.

Research, prototype, and implement abuse detection techniques.

Establish and refine testing processes for iOS and Android applications

Design and implement mobile UI automation tests

Improve AI systems through code validation and model benchmarking

Review and refine AI-generated prompts and code

Lead the DFIR team and own vision and execution of digital forensics and incident response

Establish core forensics workflows and enhance SIEM system

Architect and scale a multi-tenant hybrid-cloud Kubernetes platform

Develop custom Kubernetes operators and self-service abstractions

Design intuitive AI/BI experiences

Define user interactions with data