As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field.

Chronosphere is seeking an experienced engineer to work on the Telemetry Pipeline product, enabling customers to manage observability and SIEM data. As a Software Engineer, you will design, implement, and ship improvements to core product capabilities in Go on Kubernetes/AWS/GCP, own complex features, and uphold reliability and software quality practices.

Craft a compelling vision for Bolt’s long term impact on the fintech experience. Seek out customer, data, and design-driven insight and use that insight to help your team clear plans, priorities, and goals. Consistently deliver high-quality new products and features whilst improving reliability. Set audacious goals for your area’s impact and regularly hit them. Speak the language of engineering, design, and data science to coordinate complex cross-functional initiatives.

Leading parts of the product development from inception to launch, and owning large parts of the product and its features. Working closely with our product and design teams to build products with the goal of delighting and increasing the success of our customers, in a very iterative fashion. Architecting, building, testing, and releasing features with the highest quality.

Lead high-impact technical teams responsible for the core infrastructure of our centralized crypto exchange. Drive innovation, ensure security, and manage scalable systems in either financial technology or crypto environments. Oversee the development, integration, and optimization of platform services that support our trading operations, fostering a collaborative and high-performance engineering culture.

As a member of our team, you will play a crucial role in designing, developing, and maintaining our innovative software solutions. The candidate will work closely with the Engineering and Product teams spread across North America, Europe and India. The ideal candidate will develop and maintain backend services and APIs, work closely with Azure cloud services for deployment and scalability.

As the Vice President of Engineering at Pico MES, you will be responsible for the execution of our software engineering initiatives. You will lead and scale a dynamic team of software engineers, fostering a culture of innovation and collaboration. Your deep technical expertise, coupled with leadership skills, will enable us to deliver exceptional software solutions that enhance our MES offerings and integrate emerging technologies, including AI.

As an AI Tutor - Go, leverage your experience with systems and backend development to help train AI models to write performant, idiomatic Go code. Assess AI-generated Go (Golang) code. Write performant Go code for common systems and backend problems. Explain your problem-solving approach and evaluation criteria and identify issues or edge cases in AI outputs.

In this role, you will pioneer AI solutions to transform how we build and ship software—boosting developer productivity, accelerating delivery cycles, and scaling our platform capabilities by embedding AI into the Software Development Lifecycle (SDLC). As a Research-Driven AI Engineer, you will enhance each stage of the SDLC, automating repetitive development and operational tasks. You will partner with engineering, DevOps, and product teams.

Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. As a Staff Software Engineer in our Personalization Engine group, you will have the opportunity to shape the future of 1:1 personalized marketing by building scalable ML personalization systems that optimize who should receive messages and when to send them. You’ll work closely with data scientists and ML engineers to turn models into scalable, real-time products.