Lead a Compute Imaging engineering team within Foundational Imaging and Resources (FIR) to build and operate software services, distribution systems, and automation for OS and GPU image lifecycle.
Compensation
US: Hiring Range in USD from: $146,300 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Lead design, development, testing, deployment, and operation of software supporting image creation, qualification, publishing, distribution, and lifecycle management
Establish technical direction and translate customer, platform, and operational requirements into engineering deliverables
Participate in architecture, design, and code reviews
Challenge engineers on correctness, failure handling, scalability, performance, security, and maintainability
Evaluate alternatives, simplify designs, identify technical risks, and make implementation decisions
Build the software behind some of the world’s most advanced radar systems.
Compensation
£100,000-£150,000 + pre-IPO stock options
Responsibilities
Build high-performance Python services that ingest, process and distribute real-time sensor data with low latency, high reliability and security at scale
Build the web apps (TypeScript and React) operators use to monitor live missions and investigate what the sensors saw
Design and build secure, scalable Azure services for distributed radar systems, defining the infrastructure as code and instrumentation for what you own
Work alongside software, hardware and systems engineers, and the teams who take these systems into the field
Influence architecture and help define the engineering foundations of a fast-evolving platform
Build the services and engines that answer complex health plan data questions, owning systems end-to-end from data ingestion to API response, focusing on provider network, eligibility, claims, and plan design within a HIPAA-regulated environment.
Compensation
The target base salary range for this position is $180,000 - $225,000 and is part of a competitive total rewards package including equity and benefits.
Responsibilities
Design, build, and run production APIs and backend services for provider search, eligibility, copay calculation, and claims adjudication support.
Design and operate batch and streaming pipelines to ingest payor files, API feeds, and event streams.
Build enterprise-grade, audit-ready systems for reliability, observability, and data quality in a HIPAA-regulated environment.
Scale by design, making onboarding new payors a configuration exercise.
Requirements
Nice to have: ML or agentic systems
Nice to have: Health plan or payor-side experience
Design, develop, and scale high-performance network monitoring and observability platforms for RDMA, RoCE, InfiniBand, and TCP/IP infrastructure.
Compensation
For candidates hired at the posted level, the expected base salary range is $140,000 - $210,000. The offered compensation package may also include stock options or other equity awards, subject to Clockwork’s equity program and applicable approvals.
Responsibilities
Design, develop, and scale high-performance network monitoring platforms
Manager of IT Application Development overseeing planning, delivery, and support of enterprise store technology solutions across Family Dollar’s retail footprint.
Rivian’s Autonomy Eval Infrastructure team builds the software that helps engineers understand and improve the ML models behind our driving systems and gives release teams evidence they can trust. As a metrics-platform engineer, you will build backend services, Python libraries and data pipelines that turn model outputs into reproducible measurements and useful comparisons.
Locations (3)
Palo Alto, California, United States
London, England, United Kingdom
Belgrade, Central Serbia, Serbia
Compensation
Salary Range for California Based Applicants: $142,000-$177,500 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Responsibilities
Build and test services, APIs and libraries for registering metric definitions, computing results and retrieving them consistently across engineering tools.
Implement scalable metric-processing pipelines with safe retries, incremental computation and backfills.
Software Engineer II, Autonomy Evaluation & Metrics Platform
Rivian’s Autonomy Eval Infrastructure team builds the software that helps engineers understand and improve the ML models behind our driving systems and gives release teams evidence they can trust. Within Autonomy’s AI Platform organization, we connect model development with evaluation workflows, metrics, triage and visualization across simulation and real-world vehicle data.
Locations (3)
Palo Alto, California, United States
London, England, United Kingdom
Belgrade, Central Serbia, Serbia
Compensation
Salary Range for California Based Applicants: $142,000-$177,500 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Responsibilities
Build and test services, APIs and libraries for registering metric definitions, computing results and retrieving them consistently across engineering tools.
Implement scalable metric-processing pipelines with safe retries, incremental computation and backfills.
Lead the migration of authentication services to an independent, scalable platform while setting technical direction and ensuring security and reliability.
Locations (2)
United States
Canada
Compensation
The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Responsibilities
Design and implement migration of authentication services
Set technical direction for new authentication services
Own significant designs for session and device management flows
Publish authentication events for other services
Set standards for testing, observability and safe rollout
Capture code, metric, model, dataset and scenario versions so a reported result can be traced to its inputs and reproduced.
Build tools for comparing model versions and exploring results by scenario, geography, vehicle platform and operating conditions, using consistent aggregation and denominators.
Work with model developers to run evaluation experiments, inspect predictions and investigate failure patterns.
Capture code, metric, model, dataset and scenario versions so a reported result can be traced to its inputs and reproduced.
Build tools for comparing model versions and exploring results by scenario, geography, vehicle platform and operating conditions, using consistent aggregation and denominators.
Work with model developers to run evaluation experiments, inspect predictions and investigate failure patterns.
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