דרושים » תוכנה » Senior Simulation Engineer L4 Group

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

Were looking for engineers who are passionate about infrastructure, cloud security, and solving challenging problems at scale, and who want to make a meaningful impact on the security of modern, cloud-native systems.

Our Stack: Python, Go, K8s APIs, SingleStore, Postgres, Redis, Kafka, AWS, GCP, Azure, ElasticSearch

On a typical day youll
Design, implement, and maintain scalable backend services for onboarding, scanning, and analyzing Kubernetes environments
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Work closely with cross-functional teams to continuously enhance product capabilities and customer value
Stay current with developments in the Kubernetes ecosystem and cloud security landscape

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

We're looking for a talented and experienced DevOps Engineer to join our Platform group.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Take charge of our multi-cloud data platforms uptime, performance, and cost-effectiveness, ensuring a highly available and scalable environment for our data-driven applications
Design, implement, and maintain cutting-edge generative AI engines and tools
Work closely with architects, data scientists, software engineers, and system administrators to design and implement scalable and secure data infrastructure solutions
Contribute to product architectural and infrastructure design, focusing on leveraging backend infrastructure
Drive innovation by continuously evaluating and integrating new technologies to improve our data platforms capabilities and efficiency

We're looking for a talented and experienced DevOps Engineer to join our Platform group.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Take charge of our multi-cloud data platforms uptime, performance, and cost-effectiveness, ensuring a highly available and scalable environment for our data-driven applications
Design, implement, and maintain cutting-edge generative AI engines and tools
Work closely with architects, data scientists, software engineers, and system administrators to design and implement scalable and secure data infrastructure solutions
Contribute to product architectural and infrastructure design, focusing on leveraging backend infrastructure
Drive innovation by continuously evaluating and integrating new technologies to improve our data platforms capabilities and efficiency

As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across architecture.

Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across . Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!

Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to endfrom design and planning to implementation and deploymentwhile aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies

Were looking for engineers who are passionate about operating system internals, large-scale distributed systems, and cloud security and who want to make a meaningful impact by building robust, high-performance security platforms. This is also a great opportunity to take ownership, lead initiatives, and grow through collaboration, mentorship, and technical leadership.

Our Stack: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure

On a typical day youll:
Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Stay current with developments in the cloud security landscape, vulnerability management, and OS internals

About the Innovation Team
At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in. Were growing fast and looking for a Processing Team Lead to own and scale our core media processing infrastructure.
On your day to day
As the Processing Team Lead at our company, you will lead a team of backend and video engineers responsible for the companys media processing pipeline. Youll own the architecture and scalability of both real-time and offline processing systems, ensuring top performance and cost efficiency. Working closely with our AI, Product, and Infrastructure teams. Youll drive innovation in how our company processes and optimizes large-scale video and audio data using distributed systems and cloud-native technologies, while establishing best practices for monitoring, observability, and quality control across the entire processing stack. Beyond the technical leadership, youll mentor and grow engineers, fostering technical excellence and a culture of ownership, creativity, and impact.