Top Senior Level Hardware Engineer Jobs in Dallas, TX

The AEP Engineer will empower Fortune 500 companies in digital transformation using the Adobe Experience Platform. Responsibilities include determining optimal marketing tech stacks, leading integrations across apps, training clients, managing analytics, and developing vendor relationships.

As a Senior .NET Software Engineer, you will design and develop mission-critical APIs, automate business processes, define product requirements, and ensure code quality through unit testing. You will work on scalable designs, lead documentation efforts, and engage in research to stay updated on technology trends. Your role is to understand business needs and create optimal software solutions.

As Engineering Lead, you will define product execution strategy, lead and grow a team of engineers, manage team dynamics, and drive the organizational mission forward. You'll focus on building a customer-centric culture and ensure product success through metric analysis and strategic insight.

As a Principal Autonomy Software Engineer, you will lead the development of software for autonomous airborne systems, focusing on design, architecture, and integration of autonomy capabilities. Collaboration with the R&D team and mentorship of junior engineers will be key responsibilities, along with making decisions on technology and system design to meet both short-term and long-term goals.

As a Principal Engineer on the database engine team, you will lead the design and development of core features of SingleStore's database engine, solve complex technical problems, mentor other engineers, and collaborate with various departments to optimize customer experiences.

Lead the design and development of Mursion's VR simulation software using Unity and ensure high performance and reliability. Responsibilities include developing interfaces, building prototypes, optimizing code, and collaborating with cross-functional teams to achieve business objectives.

As a Senior AI Platform Engineer, you will design and maintain AI infrastructure, collaborate with teams to ensure robust systems, optimize models for efficient inference, manage AI models in production, and implement security protocols. You will also stay updated on industry trends and present possible use cases.