Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.

This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.

What you’ll be doing

• Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
• Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
• Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
• Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
• Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
• Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
• Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test

What we need to see

• BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
• 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
• Strong proficiency in Python and experience with frameworks such as Flask or Django
• Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
• Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
• Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
• Proficiency with version control systems such as GIT or GitLab
• Strong Linux knowledge—deployment, debugging, system monitoring, and automation
• Familiarity with bash scripting and Linux‑based automation workflows

Ways to stand out from the crowd

• Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
• Experience with real‑time operating systems (RTOS) or embedded firmware development
• Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
• Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
• Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems

Bonus Qualifications – Agentic AI Tools & Intelligent Automation

Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:

• Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
• Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
• Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
• Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
• Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
• Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
• Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics

How you’ll demonstrate Ownership

We are seeking an AI Platform Engineer to join the Cognite Atlas AI Product team in Phoenix, AZ, to engineer, build, and operate the production-grade, multi-cloud platform that enables our internal and partner teams to build, deploy, and manage industrial AI agents. You will be responsible for creating the core services, frameworks, and infrastructure for our "agent builder workbench" and agent runtime, focusing on scalability, reliability, cost-efficiency, and security. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future.

The Impact you bring to Cognite

• Design, build, and maintain the core Python SDKs and services for the Atlas AI platform. Create clean abstractions that empower Solution Engineers to easily define and test agents and workflows.
• Build the core agentic runtime, ensuring it is scalable, meets its SLOs, and can reliably manage the state, orchestration, and execution of industrial agents.
• Develop a robust, governed, and secure framework for AI agent tool-use. Engineer the platform components that allow solution engineers to safely add new tools (e.g., API calls, database queries) and that manage the secure execution, monitoring, and access control for those tools.
• Manage the LLM serving layer, including deploying and optimizing models for low-latency/high-throughput inference. Build and maintain model routing logic to select the most appropriate model (e.g., performance vs. cost) for a given task.
• Implement evaluation and observability for all AI services. Create standardized frameworks for systematically evaluating the performance, accuracy, cost, and safety of LLMs and agentic workflows. Drive the implementation of robust, automated testing strategies for LLM-based systems.
• Own the full development lifecycle for services in a production SaaS environment. This includes establishing automated code coverage goals, rigorous code reviews, defining SLOs, participating in on-call rotations, and ensuring a fast and effective incident response process.
• Work closely with the Lead Architect to translate the technical vision into implemented, production-grade services. Act as a key partner for the Solution Engineers (your internal customers) to understand their needs and abstract common patterns into reusable, robust platform components.
• Stay up to date on the latest developments in the field, and mentor junior developers.

Required Qualifications

• Bachelor's or Master’s degree in Computer Science or a related field, or equivalent practical experience.
• 8+ years of professional experience in backend software engineering, platform engineering, or MLOps, with a proven track record of architecting and operating complex systems at scale.
• 2+ years of hands-on experience building applications or platforms on top of AI/ML models or LLMs.
• Expert-level proficiency in Python and a strong background in software architecture, robust API design, and building maintainable, well-documented SDKs for other developers.
• Hands-on experience with Kubernetes (K8s) and building services on managed PaaS in a multi-cloud environment (AWS, Azure, GCP). Strong understanding of Infrastructure as Code (e.g., Terraform).
• Proven experience building and operating production-grade SaaS software. Understanding of the full development life cycle, including CI/CD, monitoring, telemetry, and on-call incident response.
• Practical experience with LLM orchestration frameworks (Bedrock, Vertex, Semantic Kernel, LangChain).
• Strong verbal and written communication skills, with the ability to articulate complex technical designs and decisions clearly.

Preferred Experience

• Hands-on experience deploying and managing LLMs in production using high-performance serving frameworks.
• Experience with MLOps/LLMOps tools for tracing, monitoring, and evaluating LLM applications (LangSmith, Arize, Phoenix, or equivalent).
• Experience with RAG Infrastructure, embedding generation pipelines, vector database integrations, and high-performance vector similarity search APIs.

A snapshot of our many perks and benefits as a Cogniter

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Who Are We Looking For?
Vestwell is looking for a dedicated and self-motivated Senior People & Workplace Experience Partner to join our People Team. We are building a team of world-class talent and are looking for a strong partner who can collaborate with multiple internal teams and stakeholders. You will provide comprehensive support in the day-to-day operations of the people team, ensuring the efficient delivery of new employee orientation and onboarding, the accuracy and maintenance of employee records, and work closely with other departments to provide customer-focused, effective People service to the organization for the achievement of the organization’s goals and objectives. You will also ensure that all office administrative activities are efficiently handled, including supply and equipment management, file management, administrative support, and related activities.

As Senior People & Workplace Experience Partner, you will have a front row seat and a direct impact on the next phase of our growth. Our ideal candidate is passionate about innovation, embodies our Vestwell Core Values, and takes initiative to ensure the well-being and growth of our employees.

What Will You Be Doing?

People Business Partnerships

• Manage core People Operations functions, including onboarding, offboarding, and time off administration
• Support employee relations discussions in partnership with the People Partner Team, guiding internal conversations, mitigating risk, and resolving conflicts
• Support the deployment of various People Team policies, procedures, and initiatives, including but not limited to performance management, internal mobility, recruitment and hiring needs, compliance and learning and development.
• Maintain compliance with local, state, and federal employment laws and regulations
• Ensure accuracy and integrity of employee data and internal documentation across People systems (e.g., Rippling, Sparrow, Envoy)

Workplace & Office Operations

• Oversee day-to-day office operations, ensuring a seamless and productive workplace experience for employees across hybrid and in-office environments
• Partner with Workplace Experience to manage office vendors, supplies, seating, and space planning to support team growth and collaboration
• Coordinate and execute in-office events, team gatherings, and employee engagement initiatives that promote Vestwell’s culture
• Act as the primary point of contact for office-related needs, including facilities issues, employee requests, and general workplace support
• Support budget tracking and expense management related to office operations, vendors, and employee experience initiatives
• Collaborate with leadership to continuously improve the in-office experience and align workplace operations with employee needs and company growth

Requirements

The Necessities

• 4-6 years of Human Resources / People Operations experience, preferably at a high-growth tech company/start-up
• Experience building, maintaining, and presenting HR data analytics
• Ability to manage both operational/administrative and strategic people team initiatives
• High emotional and social intelligence with experience fostering positive, strong relationships with diverse groups of people
• Excellent verbal and written communication skills that demonstrate a high level of professionalism
• Highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
• Passionate about people and how they function together to create a valuable organization

The Extras

• Experience working in a high-paced startup environment or SaaS environment
• Prior experience using Rippling
• Experience supporting a hybrid team 

This role will be based in our Phoenix office and will be part of Vestwell's hybrid in-office operation.

The expected base salary range for this position is $95K - $110K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company. Please note that salary bands are based on NY and other similar metro areas and may differ based on where the role is ultimately hired.

As a Senior Software Engineer at ASM, you’ll sit at the intersection of cutting-edge software, complex hardware, and real-world customer impact. You’ll be a technical leader who solves the toughest software challenges in semiconductor manufacturing—driving system reliability, safety, and performance for our global customers. In this role, you won’t just fix issues—you’ll lead investigations, influence architecture, and deliver long-term, systemic improvements that power advanced semiconductor technology worldwide.

What You’ll Be Working On

• Lead deep technical investigations into software-related safety interlocks, validating corrective and preventive actions.
• Analyze and optimize multiple interacting subsystems, gaining end-to-end understanding of full platform workflows.
• Drive root cause and corrective action (RCCA) using packet captures, log correlation, and system-level analysis.
• Design and evaluate subsystem architectures, including multi-threading and scheduler interactions.
• Develop, test, deploy, maintain, and continuously improve software for advanced semiconductor manufacturing equipment.
• Troubleshoot complex software issues, including real-time control systems.
• Act as a technical escalation point—supporting field engineers and customers globally.
  Partner with QA and Support to reproduce field issues and strengthen regression coverage.
• Author and review system specifications, software designs, and test plans.
• Investigate internal and external technical inquiries, delivering clear analysis and actionable solutions.
• Evaluate and influence software engineering tools and system design decisions.
• Plan and coordinate rapid software fixes and deployments in high-impact environments.
• Present technical insights, progress, and outcomes in customer QBRs, including findings from complex DOE analyses.

What We’re Looking For

• Bachelor’s degree in Computer Science (or related field) with 7+ years of industry experience, or Master’s degree with 4+ years, or PhD with 3+ years of relevant experience
• Strong software development expertise in C++ and/or C#
• Solid understanding of multi-threaded applications
• Experience working with software documentation, specifications, and APIs
• Good knowledge of software memory architecture and debugging

What Sets You Apart

• Advanced degree (Master’s or PhD) and experience in software architecture and machine control systems, ideally within semiconductor equipment
• Hands-on experience with GUIs, device drivers, and interrupt-driven software
• Knowledge of data communications, networking, and EtherCAT
• Understanding of dynamic scheduling algorithms and deadlock avoidance
• Proficiency with development tools such as debuggers, application builders, and configuration management systems
• Ability to triage and diagnose mechanical, electrical, and software issues holistically
• Strong analytical skills, including designing and interpreting complex DOEs using multivariate methods or PCA

Job Description

The Director, Site Reliability Engineering plays a critical role in ensuring the continuous and reliable operation of SmartRent services at the property level. This role drives system reliability, oversees property health, and partners closely with Engineering and Support teams to develop scalable processes and observability tools that sustain operational performance and deliver consistent client value.

Responsibilities

• Own property-level system reliability outcomes, including oversight of device-only networks and overall property health performance. 
• Drive adoption and effective utilization of SmartRent tools and services across properties through monitoring, insights, and continuous improvement efforts.
• Establish proactive detection and response frameworks to identify localized system issues and lead coordinated cross-functional resolution efforts. 
• Provide leadership oversight of property transfers and escalated issues, ensuring consistent resolution standards and service continuity. 
• Partner with Engineering leadership to design and implement observability tools and processes that enable scalable monitoring of system health and events.
• Define, document, and enforce standardized operational processes to ensure consistency, accountability, and cross-functional alignment. 
• Collaborate with Support leadership to develop dashboards and reporting capabilities that deliver actionable insights into property engagement, activity, and performance trends. 
• Lead the strategic oversight of IoT support operations, including installation support workflows and escalation management frameworks. 
• Oversee validation and controlled deployment of IoT firmware updates across hubs and connected devices to ensure reliability and minimize operational risk.
• Establish and maintain data integrity standards at the property level while contributing domain expertise to enterprise knowledge resources and training materials.

Required Qualifications

• Demonstrated experience in network operations, including both wired and wireless environments. 
• Experience utilizing observability and monitoring tools (e.g., Datadog, Observe, or similar platforms). 
• Strong troubleshooting expertise, including developing and maintaining runbooks and technical documentation. 
• Foundational programming, scripting, and automation skills; ability to leverage automation to improve operational efficiency is required. 
• Working knowledge of cloud-based infrastructure, such as AWS or comparable platforms. 
• Significant operational experience with a proven ability to design, implement, and sustain clear, scalable processes that teams consistently follow.
• Strong cross-functional collaboration skills, with experience working across internal teams to resolve complex operational issues and achieve shared goals.

Preferred Qualifications

• Demonstrated business acumen, including the ability to connect reliability and operational efforts to measurable business and customer value.
• Experience translating technical reliability outcomes into clear customer-facing or executive-level value narratives.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are looking for a Property Coordinator to assist in directing and coordinating activities of on-site management. This person will assist in effectively implementing procedures, cost controls and policies, maintaining good tenant and client/owner relations, as well as assisting the Property Management team in maintaining invoice records and contacting vendors/setting up accounts. 

Responsibilities: 

• Answer management phones and assist with Tenant needs 
• Respond to inquiries by providing routine information and or taking and delivering messages. 
• Receive and distribute and review all purchase orders, track purchase orders in Workspace, alert personnel of any problems or unresolved purchase orders, run monthly reports. 
• Coordinate special events such as holiday events/parties, welcome lunches, book fairs, blood drives, food drives etc. 
• Maintain inventory of office supplies and property staff directory. 
• Monitor outside vendors for compliance of contracts and certificate of insurance 
• Assist with preparing and administering service agreements 
• Establish and maintain record keeping and filing systems; classifies, sorts and files correspondence for tenant files and other documents 
• Responsible for accounts payable, accounts receivable and reporting. 
• Organize and code invoices in Workspace 
• Assist Chief Engineer with update of electrical analysis worksheet as utility invoices come in 
• Responsible for issuing Purchase Orders, tracking, and assigning the purchase orders to invoices as they are processed for payment 
• Applying tenant rents and open credits 
• Compiling and reviewing Tenant Billings and other misc. charges 
• Provide management team with aged delinquency reports and send late letters  

Desired Competency, Experience and Skills: 

• Must have a minimum high school education. Associates, B.A. or B.S. college degree preferred 
• Minimum of 2 years previous commercial property management experience 
• Experience with MRI, Workspace and Yardi software 
• Previous experience in real estate accounting and familiarity with monthly accounting cycle, including an understanding of A/P, A/R, commercial leases. 
• Possess professional demeanor and excellent interpersonal skills. 
• Have access to reliable transportation and maintain a valid driver's license. 
• Computer literate and proficient on MS Word, Excel, PowerPoint, 
• Excellent communication skills, both verbal and written 
• Ability to work independently 

This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position.

#ZIP

Job Description

The Enterprise Data Engineer supports the organization’s core enterprise systems and data platforms, with responsibilities spanning ERP technical support, data pipeline development, and system integrations. This role helps ensure reliable system operations while enabling scalable analytics and reporting solutions across the organization.  This role also serves as a key technical partner to the software development team, assisting with the management of on-premises infrastructure and the modernization of deployment workflows.

Key Responsibilities

• Provide technical support and troubleshooting for the organization’s ERP platform and related integrations.
• Assist with ERP system maintenance, upgrades, testing, and performance monitoring.
• Design, develop, and maintain data pipelines and ETL processes supporting the Microsoft Fabric data platform.
• Integrate data from ERP and other business systems to support analytics and reporting initiatives.
• Collaborate with BI developers and analysts to support Power BI datasets and reporting solutions.
• Develop and maintain integrations between enterprise systems, including ERP, Quickbase, and other applications.
• Document system configurations, data pipelines, and integration processes while supporting ongoing platform improvements.
• Infrastructure Bridge: Provide secondary support for the development team’s on-premises Windows/IIS environment, ensuring server stability for hosted applications and databases.
• Deployment Support: Partner with software developers to transition manual "local" deployments into automated CI/CD pipelines within Azure DevOps.
• Environment Stewardship: Monitor on-premises SQL Server health (backups, performance, and storage) to support both the ERP and the broader data platform.

Qualifications

• ERP: Experience supporting ERP or enterprise business systems.
• SQL: Strong SQL and data troubleshooting skills.
• ETL: Experience with ETL processes and modern data platforms (Microsoft Fabric, Azure Data Factory, Synapse, or similar).
• BI: Familiarity with Power BI data models and analytics environments.
• DevOps Mindset: Basic experience with (or a strong desire to learn) Azure DevOps pipeline configuration and automation.
• Windows Server Familiarity: Practical knowledge of IIS (site configuration/SSL)
• Automation Scripting: Ability to use PowerShell or similar tools to automate routine server maintenance or data movement tasks.

Disclaimer 

While AI tools may support your application process, this role is built on human talent. Your judgment, experience, and character matter most, so we encourage you to showcase what makes you uniquely you.

Atwell does not accept unsolicited resumes from any 3rd party agencies. No fee will be paid to 3rd parties who submit unsolicited resumes to any Atwell employee. Resumes from approved vendors must be specifically requested by Atwell and approved by the Atwell Talent Acquisition Team.

#LI-WS

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description

The Embedded Software Engineer is responsible for developing and maintaining firmware for SmartRent devices, including Z-Wave controllers (hubs) and access control systems. This role supports the integration of hardware devices with SmartRent platform services, enabling reliable communication between field devices and cloud-based systems.

This role contributes to firmware development using the Nerves framework and Elixir-based systems and collaborates with hardware, platform, and application teams to implement new functionality, support device reliability, and maintain existing device software.

Responsibilities

• Lead medium- to large-scale development efforts across the embedded stack, from firmware through device interfaces, operating with a high degree of autonomy while collaborating with cross-functional teams.
• Design, develop, and maintain firmware for SmartRent IoT devices using Elixir and the Nerves framework.
• Lead the bring-up of new hardware platforms, including driver development, peripheral integration, and system validation.
• Develop and maintain device-local user interfaces running on embedded hardware using technologies such as Phoenix, Flutter, and gRPC.
• Integrate third-party systems, including HVAC, access control, and Z-Wave platforms, by interpreting vendor documentation and supporting required communication protocols.
• Develop and maintain automated tests and supporting documentation to ensure system reliability and prevent regressions across deployed devices.
• Develop project timelines, manage deliverables against defined milestones, and communicate risks, dependencies, and requirement changes proactively.
• Support team development through code reviews, technical guidance, knowledge sharing, and mentorship of less experienced engineers.
• Contribute to internal tooling, shared engineering resources, and open-source initiatives aligned with SmartRent’s technical ecosystem.

Required Qualifications

• Minimum of 4 years of hands-on software development experience.
• Proficiency in Elixir or Erlang/OTP, with working knowledge of the BEAM runtime, or demonstrated ability to learn and apply functional programming concepts.
• Experience with, or demonstrated interest in, embedded Linux systems development.
• Working knowledge of Linux internals, including device trees, kernel configuration, system boot processes, and shell tooling.
• Demonstrated ability to deliver projects from design through deployment with minimal supervision.
• Strong written and verbal communication skills, with the ability to collaborate effectively across teams.
• Demonstrated ability to learn and apply new tools, languages, and technologies as required.
• Must be authorized to work in the United States without the need for employer sponsorship now or in the future.

Preferred Qualifications

• Experience with the Nerves framework or embedded Elixir development.
• Experience with Phoenix, LiveView, or other Elixir-based web frameworks.
• Working knowledge of C/C++ for hardware-adjacent development or driver support.
• Familiarity with IoT communication protocols, such as MQTT, Z-Wave, or BLE.
• Exposure to HVAC or building automation systems.
• Experience integrating access control systems or similar hardware-based platforms.
• Ability to read and interpret hardware datasheets and schematics at a foundational level.
• Experience contributing to open-source projects or shared technical libraries.
• Familiarity with Amazon Web Services (AWS), particularly in IoT-related environments.

#LI-Remote

Responsibilities:

• Design mechanical systems and products supporting ASM process chambers using sound engineering principles
• Drive data-based design decisions in a cross-functional team environment
• Lead hardware development from concept through testing and HVM readiness
• Create and manage 3D CAD models (Creo) and 2D drawings with GD&T
• Perform engineering analysis including structural, thermal, and fluid dynamics
• Maintain product configuration using modern PLM tools
• Participate in design reviews and drive DFx activities
• Collaborate with suppliers to resolve fabrication challenges
• Prepare documentation for manufacturing and testing
• Support cost estimation for new features and enhancements

Requirements:

• Master’s degree in mechanical engineering
• 2+ years of experience in mechanical design using 3D CAD (Creo preferred)
• Experience with FEA and CFD tools (e.g., Ansys, Comsol)
• Familiarity with part fabrication methods (CNC, sheet metal, welding, coatings)
• Knowledge of GD&T and engineering drawing standards
• Comfortable working in lab and cleanroom environments, including manual tasks

Preferred Qualifications

• Experience in semiconductor or capital equipment industry
• Knowledge of vacuum systems, wafer handling, gas/fluid delivery, robotics
• Experience with modern DFx practices
• Familiarity with SEMI standards (e.g., S2)
• Experience with PLM tools and methodologies
• Ability to mentor junior engineers and manage large design projects
• Willingness to travel (<10%) domestically and internationally

As a Senior Software Engineer at ASM, you’ll sit at the intersection of cutting-edge software, complex hardware, and real-world customer impact. You’ll be a technical leader who solves the toughest software challenges in semiconductor manufacturing—driving system reliability, safety, and performance for our global customers. In this role, you won’t just fix issues—you’ll lead investigations, influence architecture, and deliver long-term, systemic improvements that power advanced semiconductor technology worldwide.

What You’ll Be Working On

• Lead deep technical investigations into software-related safety interlocks, validating corrective and preventive actions.
• Analyze and optimize multiple interacting subsystems, gaining end-to-end understanding of full platform workflows.
• Drive root cause and corrective action (RCCA) using packet captures, log correlation, and system-level analysis.
• Design and evaluate subsystem architectures, including multi-threading and scheduler interactions.
• Develop, test, deploy, maintain, and continuously improve software for advanced semiconductor manufacturing equipment.
• Troubleshoot complex software issues, including real-time control systems.
• Act as a technical escalation point—supporting field engineers and customers globally.
  Partner with QA and Support to reproduce field issues and strengthen regression coverage.
• Author and review system specifications, software designs, and test plans.
• Investigate internal and external technical inquiries, delivering clear analysis and actionable solutions.
• Evaluate and influence software engineering tools and system design decisions.
• Plan and coordinate rapid software fixes and deployments in high-impact environments.
• Present technical insights, progress, and outcomes in customer QBRs, including findings from complex DOE analyses.

What We’re Looking For

• Bachelor’s degree in Computer Science (or related field) with 10+ years of industry experience, or Master’s degree with 4+ years, or PhD with 3+ years of relevant experience
• Strong software development expertise in C++ and/or C#
• Experience developing for Windows and real-time operating systems
• Solid understanding of multi-threaded applications
• Experience working with software documentation, specifications, and APIs

What Sets You Apart

• Advanced degree (Master’s or PhD) and experience in software architecture and machine control systems, ideally within semiconductor equipment
• Hands-on experience with GUIs, device drivers, and interrupt-driven software
• Knowledge of data communications, networking, and EtherCAT
• Understanding of dynamic scheduling algorithms and deadlock avoidance
• Proficiency with development tools such as debuggers, application builders, and configuration management systems
• Ability to triage and diagnose mechanical, electrical, and software issues holistically
• Strong analytical skills, including designing and interpreting complex DOEs using multivariate methods or PCA

About the Role

We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join our growing team. The ideal candidate will be a strong collaborator with deep expertise in modern application development technologies and practices. The focus of this role is on building and maintaining robust, scalable, and high-performance applications across the full stack using TypeScript and some Python. Some experience with React and/or Angular would be helpful.

This role requires not only technical proficiency but also a forward-thinking perspective on the role of Artificial Intelligence (AI) in modern software development. Candidates must demonstrate an active engagement with AI tools, understanding their practical use, current limitations, and the strategic opportunities they present for the engineering discipline.

Mainly remote work: seeking candidates in the greater Los Angeles area to mainly work remotely with some on-site work required at times.

Key Responsibilities

• Lead the design, development, and deployment of complex features across both the frontend and backend of our clients’ products.
• Write clean, maintainable, and well-tested code using TypeScript for type safety and scalability on both the client and server.
• Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
• Collaborate with other team members to set technical standards, establish best practices, and make architecture decisions.
• Actively research and evaluate new technologies, tools, and methodologies to improve the engineering process.
• Demonstrate and articulate a practical understanding of AI tools (e.g., planning, code generation, intelligent testing frameworks) in daily engineering tasks, including their effective application and inherent limitations.

Qualifications

• 5+ years of experience in full-stack software development.
• Expert-level proficiency with TypeScript, including complex type definitions and advanced language features.
• Strong experience with server-side development, including building and consuming RESTful APIs or GraphQL services (proficiency with Hono Framework is a plus).
• Proficiency with relational and non-relational databases
• Familiarity with modern CI/CD pipelines, containerization (Docker), and cloud platforms (primarily AWS, with experience in GCP and/or Azure a plus).
• Preferred, but not required: Proficiency with React and its ecosystem (e.g., Hooks, Context API, Next.js, or similar frameworks). Experience with Angular (any version) in a professional capacity is a plus.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Salary Range $135,000 - $175,000

Application Process

A cover letter is required. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial Screening Call
• A Technical Assessment sent by email and returned by email
• A Panel Interview