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We are hiring a Senior Robotics Algorithm Engineer to own the algorithmic core of our unmanned surface vessel: everything between a world state and a safe navigation command. Localization, route and path generation, continuous replanning, encounter reasoning, collision avoidance, COLREG-aware behavior and the decision logic that ties them together are yours. The maritime environment is unforgiving and only partly observable. Other vessels do not declare their intent, tracks are noisy, the sea moves under you, and the rules of the road are written for humans exercising judgment.

You will own the algorithmic core end to end. From the moment a world model arrives to the moment the vessel commits to a maneuver, every navigation decision the system makes is one you designed.

What Will You Do?
Own the algorithmic path from world state to safe navigation commands, end to end.
Design and implement global and local planning: route generation, waypoint generation, path following, and continuous replanning as conditions change.
Build collision avoidance for dynamic maritime environments: encounter detection and classification, reasoning about other vessels' course, speed, intent and uncertainty, maneuver selection and timing, and return-to-route logic.
Design mission-level decision logic: continue, deviate, hold, abort, transition to safe state and define the behavior envelope.
Build the data pipeline and own performance in simulation and at sea.

We are seeking a skilled and experienced Network Expert to join our team.
The Network Expert will be responsible for designing, implementing, and maintaining our organization's network infrastructure.
This role requires strong technical expertise in network architecture, protocols, security, and troubleshooting.
The ideal candidate will have a passion for technology, excellent problem-solving skills, and the ability to work well both independently and as part of a team.

We are hiring a Principal Autonomy Engineer to architect and lead the autonomous navigation stack of our unmanned surface vessel. You will own the architecture end to end - World Model, planning, decision making, vehicle interface, and you will decide how the brain itself is built: module decomposition, behavior architecture, arbitration, state ownership, and the core technology choices behind them. You will define technical requirements and reference scenarios, own the safety and degradation architecture, and hold the interfaces between autonomy, perception, the vessel platform and the field teams.

This is not an architecture role away from the code, but it is a leadership role. You will set the technical direction of the group and you will write the parts that matter most yourself - hands on principal.

What Will You Do?
Own the end-to-end architecture of the autonomous navigation stack: World Model - Planning - Decision Making - Vehicle Interface.
Define and own the World Model Contract: representation, uncertainty, timing and synchronization, coordinate frames, confidence and degradation modes.
Define and own the Vehicle Interface Contract: command semantics, platform guarantees, latency and failure behavior, and the abstraction that keeps the stack portable across platforms.
Decide how the autonomy brain is structured - module decomposition, behavior architecture, arbitration between behaviors, state ownership, data flow.
Design the safety and fail-safe architecture: degradation ladder, safe-state transitions, operator intervention, fault containment.
Stay hands-on in planning and decision-making code where the hardest problems are.
Lead technical hiring and technical direction for the autonomy group as it grows.

Required Senior Embedded Firmware Engineer, DSP, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will develop the real-time software "brain" of next-generation high-speed interconnects. You will write high-performance C/C++ code that manages critical power-on, reset, and calibration sequences, ensuring our custom silicon reaches peak performance and stability in milliseconds.
Responsibilities
Design and implement real-time embedded C/C++ code for data path control, management, and telemetry.
Develop low-level drivers and Hardware Abstraction Layers (HAL) to interface with custom digital signal processing (DSP) hardware blocks and registers.
Implement and debug firmware-based adaptation algorithms for equalizer tap updates and gain control (VGA/TIA).
Write unit tests and participate in continuous integration flows to ensure firmware stability across hardware revisions and emulation platforms.

we are looking for a Senior SW Engineer [Codegen]
Job Description

Join a multi-disciplinary team of experts operating at the core of Speedatas software stack

Lead the design and implementation of highly efficient algorithms that maximize our performance

Develop time-critical Python components that translate database operations to performant, hardware-optimized C++

Co-design the next generation of our architecture alongside Hardware & Software engineering leads

Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration

Fly high with the SW, and dive in for a byte of the HW

We are looking for an experienced, driven, and tech-savvy Senior Project Manager to lead complex, multi-disciplinary hybrid cloud initiatives within our Expert Services Group. In this role, you will be the driving force behind end-to-end cloud transformation projects-managing client relationships, coordinating elite engineering squads, keeping budgets and timelines on track, and ensuring the highest technical and operational standards.
If you thrive in a fast-paced ecosystem, have a strong technical foundation in cloud infrastructure (Cloud and on-premise environments), and excel at steering high-impact professional services projects, this is your next challenge.
Key Responsibilities
End-to-End Project Lifecycle Management: Own the delivery of complex hybrid cloud projects-from kickoff and discovery through architecture design, migration execution, and final handover.
Client & Partners Engagement and Stakeholder Management: Serve as the primary trusted advisor and point of contact for enterprise clients and partners, managing expectations, communicating progress, and mitigating risks.
Resource & Capacity Planning: Coordinate cross-functional squads of Cloud Architects, DevOps Engineers, and System Specialists, ensuring optimal allocation and utilization.
Financial & Scope Oversight: Manage project budgets, tracking billable utilization, statements of work (SOWs), change management requests, and profitability margins.
Technical Synchronization: Bridge the gap between business stakeholders and deep-tech engineering teams, facilitating technical reviews, bottleneck resolution, and architectural alignment.

We are looking for an experienced, driven, and tech-savvy Senior Project Manager to lead complex, multi-disciplinary hybrid cloud initiatives within our Expert Services Group. In this role, you will be the driving force behind end-to-end cloud transformation projects-managing client relationships, coordinating elite engineering squads, keeping budgets and timelines on track, and ensuring the highest technical and operational standards.
If you thrive in a fast-paced ecosystem, have a strong technical foundation in cloud infrastructure (Cloud and on-premise environments), and excel at steering high-impact professional services projects, this is your next challenge.
Key Responsibilities
End-to-End Project Lifecycle Management: Own the delivery of complex hybrid cloud projects-from kickoff and discovery through architecture design, migration execution, and final handover.
Client & Partners Engagement and Stakeholder Management: Serve as the primary trusted advisor and point of contact for enterprise clients and partners, managing expectations, communicating progress, and mitigating risks.
Resource & Capacity Planning: Coordinate cross-functional squads of Cloud Architects, DevOps Engineers, and System Specialists, ensuring optimal allocation and utilization.
Financial & Scope Oversight: Manage project budgets, tracking billable utilization, statements of work (SOWs), change management requests, and profitability margins.
Technical Synchronization: Bridge the gap between business stakeholders and deep-tech engineering teams, facilitating technical reviews, bottleneck resolution, and architectural alignment.

Required Senior Edge-AI SoC Design Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and drive verification closure. You will verify digital designs, collaborate closely with design and verification engineers on projects, and perform direct verification. You will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning, test execution, to collecting and closing coverage.
The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're the driving force behind groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and Universal Verification Methodology (UVM), or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

We are looking for an experienced Infrastructure & DevOps Team Lead to take full ownership of our cloud and edge infrastructure domain.

In this role, you will act as a key technical leader within the R&D department, bridging the gap between strong software development practices and large-scale platform engineering. You will be responsible for driving cloud architecture, security, operational excellence, and scalability across both cloud environments and globally distributed edge deployments.

This is a strategic leadership role with end-to-end ownership of our infrastructure domain, ensuring our cloud and edge platforms remain scalable, secure, reliable, and cost-efficient as the company grows.

Responsibilities
Lead, mentor, and grow a team of 2-3 Infrastructure and DevOps engineers while remaining a 50% hands-on technical leader.
Own and evolve our cloud infrastructure architecture and operational strategy.
Ensure the scalability, reliability, security, and cost-efficiency of our cloud and edge platforms.
Lead infrastructure automation, Infrastructure as Code (IaC), and CI/CD best practices across the organization.
Drive cloud security, governance, observability, and incident management processes.
Partner with engineering leadership on architecture, platform strategy, and technology decisions.
Act as the primary infrastructure authority within the R&D organization and influence the company's technology roadmap.

As an Agentic AI & Algorithms Team Lead, you will lead a high-caliber team of AI engineers while staying hands-on in the codebase (~50%). You will also act as the Solution Architect for the algorithmic product, working closely with the CTO and VP Product with core influence on the product roadmap.

The AI is the core of the product, and the AI itself is the decision-maker. It performs diagnosis and root-cause analysis on complex, multi-source data (spectral, time-series, tabular, and more) to produce the conclusions the product delivers.

Key Responsibilities
Lead and mentor a focused team of algorithm engineers and data scientists building AI Agents for production-grade, decision-making systems.
Own the Agentic AI solution architecture at the core of the company's flagship product: ensure the accuracy required for mission-critical decisions, design robust guardrails, and control token consumption and cost.
Act as Solution Architect: turn ambiguous customer or internal ideas into a concrete technical specification and a working implementation.
Spend ~50% of your time writing code, focused on high-risk, critical milestones such as researching and building POCs for novel algorithmic approaches.
Work directly with the CTO and VP Product to align the algorithmic strategy with the product roadmap and core capabilities, given the deep impact this role has on both.
Work directly with industrial domain experts to translate their specialized knowledge into the AI's decision logic.

We're looking for a Senior Fullstack Software Engineer to build intelligent backend infrastructure and exceptional user experiences that power our platform. You'll work directly with LLMs, design scalable systems, and ship production AI features that transform how legal teams operate worldwide. If you love owning features end-to-end and moving fast, we want to hear from you.


What You'll Do

Own features end-to-end, from design through deployment across the full stack

Build scalable backend services and APIs using Python (FastAPI, Pydantic, Postgres, MongoDB)

Create responsive, performant frontend experiences with React.js

Develop integrations with enterprise platforms like Salesforce, Google Drive, SharePoint, and DocuSign

Work hands-on with LLMs and build the connecting logic between AI capabilities and business systems

Partner with ML engineers, AI researchers, and legal domain experts to deliver impactful solutions

Contribute to architectural decisions and help establish engineering best practices as we scale

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

Required Senior CPU Core Architect
Job Description
The CPU Architect will take charge in defining a processor core that meets the requirement of high performance, high bandwidth, and scalable processing architecture. This architect will utilize his processor experience to deliver a world-class processor ASIC with many advanced features for Huawei products.