Own and develop computational geometry methods that generate manufacturable CAD for Mimo’s agentic system, integrating simulation, analysis pipelines, and geometry roadmaps.
Compensation
$170K–$220K base and equity, four-year vesting with a one-year cliff.
Responsibilities
Build methods that produce manufacturable CAD from intent across B-rep, implicit and mesh representations
Put simulation in the loop: meshing, finite-element and physics-based verification of generated parts
Build analysis pipelines and tools that read, check and characterize CAD and mesh files at scale
Own exact geometry interchange and assemblies: STEP, IGES, 3MF and mesh formats
Run the research practice for geometry: read the field, prototype methods, and write memos that decide what we build next
Technical consultants support the design, development, implementation, and operation of COTS-based procurement and grants management solutions for the federal marketplace.
Compensation
Base Salary: $70,000-85,000
Responsibilities
Design, applying development process understanding, and testing of software enhancements and adaptations to Unison’s COTS solutions
Implementation of real-time integrations with other applications including Federal ERP software solutions and other administrative and programmatic systems
Support the technical configuration, management, and operation of Unison’s software solutions at client sites, including software installation, testing, configuration management, conversions, data base administration and related activities
Design, implement, and optimize scalable backend systems and AI-driven workflows from spec to production, owning the architectural roadmap and leading LLM integrations.
Responsibilities
Own the architectural roadmap — making pragmatic, high-leverage decisions that scale with the platform.
Lead integration of LLM models, agentic frameworks, and workflow automation to enhance sales intelligence features.
Profile, debug, and optimize the platform for high availability, low latency, and seamless third-party integrations.
Take high-impact features from discovery through deployment — writing technical designs, breaking down complexity, and iterating on feedback.
Write clean, maintainable, well-tested code. Champion engineering best practices and lead code reviews.
As a Reload Technician, you will play an important role in managing, testing, reloading, and recertifying these units before they are returned to Ciena’s finished goods inventory for future customer orders.
Compensation
Pay Range: Our Technician's are paid hourly, for this role the hourly range is $28/hr - $45/hr
Responsibilities
Perform manual and automated reload, retest, and recertification activities using Linux-based tools and scripting languages such as Python and Perl.
Execute reload and recertification tests according to established engineering documentation and procedures.
Configure and update software loads and perform traffic and system testing as required.
Record test results and maintain accurate reload and recertification logs in the appropriate databases.
Identify hardware and software failures, troubleshoot issues, and document and report problems to the appropriate teams.
Responsible for gathering, analyzing and validating operational data while developing automated reporting tools and visual products to improve data accuracy, access, and communication of data insights; oversees analytical initiatives and assists in guiding entry-level Service Analysts.
Developing and maintaining performance processes, metrics, and measures to inform recommended operational and service improvements.
Gathering, cleaning, aggregating, querying, analyzing, and interpreting operational data; validates inputs, calculations, algorithms, outputs, and resolves data gaps or inconsistencies.
Designing dashboards, interactive reports, charts, presentations, and other visual products that clearly communicate findings, outcomes, and trends.
Creating and maintaining automated reporting workflows, analytical tools, databases, and processes that accelerate data access.
Coordinating with departments, operating divisions, vendors, and other stakeholders to fulfill data requests and address analytical needs.
As a founding engineer on the team, you'll build and operate the infrastructure behind our training, inference and agent workloads. A workload might involve launching thousands of containerized environments, scheduling jobs across GPU nodes and collecting results for the next training run.
Compensation
[range] + [bonus, equity, benefits]
Responsibilities
Build and operate Kubernetes clusters for GPU training, model inference and agent execution.
Create and maintain Docker images and reproducible environments for research and production workloads.
Build systems to launch, monitor, clean up and recover thousands of concurrent containerized tasks.
Improve scheduling, autoscaling and resource allocation to reduce GPU idle time and infrastructure costs.
Automate infrastructure provisioning, deployments and upgrades using infrastructure as code and CI/CD.
Requirements
Bachelor's degree or equivalent practical experience
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