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We are looking for a deep learning algorithm developer to join our growing team under our companys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Contribute to dataset curation activities - collecting, cleaning, labeling, and preparing multimodal data for training and validation.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Support validation of multimodal models - evaluating vision-language-action behavior and helping identify performance gaps across driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.

We are looking for an exceptional deep learning algorithm developer with proven experience in LLMs/VLMs/VLA models to join our growing team under our copmpanys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Lead dataset curation strategy - designing scalable pipelines for multimodal data to drive high-quality training and validation.
Architect and optimize LLMs, VLMs, and VLA models - transforming scene understanding into reliable driving guidance.
Own the validation strategy - defining methodologies, metrics, and failure-analysis workflows for robust vision-language-action alignment.
Make an immediate impact by applying deep expertise to guide model design, methodology, and development priorities from day one.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Influence the technical direction of language-driven autonomy - contributing experience, shaping capabilities, and driving innovation to production.

Required DevOps Tech Lead
The opportunity
As our DevOps Activity Leader, you will join our R&D leadership team to set the technical vision for our infrastructure. Working alongside our Data/ML, Mobile, and Backend leaders, you will play a key role in shaping our company's overall technical strategy.
Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.
Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.
Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.
Technology Breadth: Work across the full DevOps spectrum from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.
What you'll be doing
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.

The ERP Applications team is part of our companys Information Systems department and manages our company's ERP Business Applications portfolio. The team collaborates with our Finance, Logistics, Purchasing, Sales, Engineering, IT, and BI departments. We are responsible for gathering business requirements, detailed designs, new implementations and developments, various system integrations, and providing ongoing application support.
What will your job look like:
Technical Leadership: NetSuite Solution Architecture, setting technical standards, and guiding project direction.
Develop, implement, and maintain solutions across our companys ERP applications portfolio.
Translate business requirements into technical designs and system enhancements.
Manage and control integration processes with internal and external systems.
Lead and participate in ERP-related projects together with BI and integration teams.
System Optimization: Troubleshoot, debug, analyze performance, and implement solutions for complex issues, ensuring data integrity and security. Serve as a NetSuite subject matter expert within our company.

Join the innovative and quickly growing team, where we're building a groundbreaking, large-scale mobile platform. We're searching for an exceptional and passionate Android Team Lead to guide our talented developers in a fast-paced environment.
Our goal is to create a content discovery platform that reaches millions of users daily, offering unique and effortless ways for them to find their favorite content. At Aura, we're constantly using the latest Android technologies to build a scalable product that's growing fast.
This is an exciting chance for someone who wants to make a real impact on a challenging product with a huge audience, all while leading and mentoring a skilled team. We highly value leaders who champion technical excellence, encourage ownership, and know how to pick the right tools for the job.
What you'll be doing
Lead and grow an Android development team: You'll guide, mentor, and manage one of our Android development teams, building a strong culture of teamwork and constant improvement.
Drive architectural design: You'll lead the design and development of complex features, making sure the team produces clean, scalable, and high-quality code.
Oversee the full development cycle: This means you'll be in charge of the team's Android development efforts from start to finish, including design, actual coding, testing, and getting the product out to users.
Work closely with other teams: You'll team up with product managers, architects, DevOps, BI Engineers, and business teams to plan and carry out our clear product roadmap.
Ensure code quality: You'll regularly review code, giving helpful feedback to ensure our team sticks to best practices and high standards.
Keep us at the cutting edge: You'll stay on top of the newest trends in Android development, guiding the team to use innovative solutions and best practices that make our product better and our work more efficient.
Manage project delivery: You'll handle project schedules, resources, and priorities to make sure we hit our product milestones on time.
Boost communication: You'll make sure information and knowledge are shared effectively within your team and with other departments.

We are hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers.

We are looking for a hands-on data infrastructure and platform engineer with proven leadership skills to lead and evolve our self-service data platform that powers petabyte-scale batch and streaming, near-real-time analytics, experimentation, and the feature platform. Youll guide an already excellent team of senior engineers, own reliability and cost efficiency, and be the focal point for pivotal, company-wide data initiatives- feature platform, lakehouse, and streaming.
Own the lakehouse backbone: Mature Iceberg at high scalepartitioning, compaction, retention, metadataand extend our IcebergManager in-house product to automate the lakehouse management in a self serve fashion.
Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.
Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.
Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.
Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).
What you'll be doing
Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
Owning SLOs, on-call, incident response, and postmortems for core data services.
Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

we are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Employee Productivity & GenAI Expert at DRS RADA Technologies! Lead how we use Microsoft 365, Azure and GenAI (assistants, copilots, agents, coding assistants like Tabnine, and automations) to improve employee productivity across the company. Key Responsibilities
* Own the GenAI & productivity strategy in a Microsoft-based environment (Azure, M365, Teams, Copilots).
* Identify and deliver high-impact use cases and automations across business functions.
* Implement and manage GenAI assistants, copilots, agents and coding assistants
* Drive adoption, training and best practices for employees and managers.
* Track usage and impact KPIs and continuously improve tools and workflows.