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we are looking for a Senior Backend Engineer GO.
As a Senior Software Engineer, youll design, develop, and deploy robust software systems across our platform. Youll have ownership of end-to-end projects, the autonomy to lead from idea to implementation, and the opportunity to work across product lines - from scalable APIs and secure infrastructure to machine learning.
The role also brings unique engineering challenges shaped by regulatory and compliance requirements - pushing your creativity and technical capabilities.
What Youll Actually Be Doing:
Design, build, test, and deploy backend systems for high-scale financial applications
Lead architecture reviews and drive decisions across technologies and platforms
Write well-tested code and review peers work for quality and clarity
Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
Own and improve development lifecycles including CI/CD, observability, and cloud automation
Debug production issues and lead efforts to ensure system reliability and uptime
Contribute to internal documentation and onboarding processes
Participate in a Tier 2/3 on-call rotation to support business-critical systems

as a senior integration & application Developer, you will be an integral part of the esc and integration team, responsible for designing, developing, implementing, and supporting enterprise-grade application integrations, while serving as a key technical authority within the team.
we are seeking a hands-on technical lead to lead the design and delivery of integrations using the iconduct platform as the primary integration solution. the role includes continuous development and enhancement of integrations across multiple application systems, driving technical excellence, best practices, and contributing to the teams overall execution and growth, without direct people management responsibilities.
what your job will look like?
serve as a hands-on application integration technical lead, designing, developing, and maintaining integrations, scripts, and automation across our growing ecosystem.
design and build a scalable integration architecture for enterprise information systems, and lead its end-to-end implementation.
collaborate closely with cross-functional teams to gather requirements and deliver integration solutions that improve daily workflows and operational efficiency.
actively participate in technical discussions and design reviews, defining best practices for building robust, secure, and maintainable integrations.
ensure the stability, integrity, and smooth operation of the companys integration architecture.
leverage ai-based tools and technologies to enhance automation, optimize integration processes, and improve overall system efficiency.
serve as a key technical authority within the team, providing guidance, mentorship, and technical leadership.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++. at our company, algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers at we contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++.
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

you will be part of rem department, which is responsible for the automatic high-definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems. this process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking. we are seeking a backend & data engineer to join our innovation team within our mapping division. this role is best suited for engineers with strong system -level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale. what your job will look like:
develop and maintain backend and data -processing components in large-scale systems
design, implement, and optimize data pipelines and distributed processing flows
work with large-scale Storage systems (e.g., s3) and high-volume data access patterns
optimize systems and code across multiple layers - from architecture to implementation
identify performance bottlenecks, debug complex issues, and drive root-cause solutions
work across teams and domains, reading, improving, and refactoring existing code
take part in technical design and decision-making, balancing performance, scalability, and maintainability

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

This role is a great fit for someone who thrives in an environment that values speed without compromising on quality, and who enjoys taking full ownership of their work end to end. If you are curious by nature, demonstrate strong entrepreneurial thinking, are not afraid to ask questions, and know how to navigate ambiguity while moving quickly.