• Lead the design and implementation of full-stack features across our B2B platform, working directly with product and operations leadership. • Drive the convergence of multiple legacy stacks into the core CookUnity codebase, making key architectural decisions along the way. • Automate and simplify operationally complex processes — from smart fridge inventory management to healthcare meal delivery workflows. • Maintain and scale our AWS infrastructure to support rapid vertical growth. • Mentor engineers across the team and contribute to raising the technical bar. • Be hands-on and build products used by thousands of corporate customers from day one.

• Lead the technical discovery, scoping, and execution of complex features, collaborating seamlessly with Product, Design, QA, and business stakeholders. • Own features end-to-end. Break down large initiatives into actionable engineering milestones and guide the team toward successful delivery. • Act as a strong, proactive communicator who can translate complex technical challenges into clear business outcomes for non-technical partners. • Champion high engineering standards through thorough code reviews, architectural discussions, and mentorship of mid-level and junior engineers. • Act with a high degree of autonomy on the frontend. You can take loose product requirements and rapidly iterate on user interfaces without needing exhaustive, pixel-perfect specs from a design team for every change. • Build and maintain high-performance frontend applications using React, TypeScript, and React Query. • Support and contribute to our React Native mobile applications. • Apply strong product intuition and UX sensibilities to build clean, logical, and user-friendly flows using component libraries like Tailwind or MUI. • Design, build, and optimize robust REST APIs using Django REST Framework (DRF). • Develop and evolve clean database models, schemas, and complex migrations. • Leverage LLMs and AI tooling, specifically Claude and Claude Code, to accelerate development workflows and build innovative, automated features. • Monitor, troubleshoot, and scale production services deployed via Kubernetes on Google Cloud Platform (GCP) using Datadog and logging best practices. • Additional responsibilities as assigned.

Location: Tucson United States Job Description: Job Title: Embedded Software Engineer Job Description As an Embedded Software Engineer, you will play a crucial role in supporting the development of payload software, external interfaces, and operating system deployments. This position focuses on deploying novel systems on Size/Weight/Power constrained computing hardware for space sensor payloads. You will participate in all aspects of software design and development, starting with requirements generation and following through implementation, testing, deployment, and support. Your work will leverage core understanding of Linux fundamentals, fault-tolerant design, device interface implementation, and real-time operating systems. Join a team of driven pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space. Responsibilities - Develop and support payload software, external interfaces, and operating system deployments. - Focus on deployment of systems on Size/Weight/Power constrained computing hardware for space sensor payloads. - Participate in software design and development from requirements generation to implementation, testing, deployment, and support. - Leverage Linux fundamentals, fault-tolerant design, device interface implementation, and real-time operating systems. - Collaborate with a team to tackle challenging projects and contribute to the future of space exploration. Essential Skills - Proficiency in C/C++ and Python programming languages. - Experience with Linux and multi-threaded programming. - At least 5 years of professional full-time software engineering experience. - Bachelor"s degree in computer science, computer engineering, or equivalent disciplines. - Experience with real-time operating systems and system deployment. Additional Skills & Qualifications - Experience with operating system deployment and hardware driver interfaces. - Exposure to hybrid C and Python testing. - Experience with interfaces, timing, and communications protocols. - Exposure or experience within FPGA interfaces. - Experience with image processing algorithms. - Familiarity with simulation infrastructure such as Matlab or Python. - Active TS/SCI security clearance is highly desirable. Work Environment This is a fully remote position with potential travel required up to 2 weeks per quarter. You will work in a collaborative environment where knowledge sharing and teamwork are essential. Join a team that is not just launching rockets but is building the future of space, enabling missions ranging from interplanetary exploration to national security and defense initiatives. Job Type & Location This is a Contract position based out of Tucson, AZ. Pay and Benefits The pay range for this position is $67.31 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jul 3, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. • Design and implement new communication technologies to accelerate AI and HPC workloads. • Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. • Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations. • Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)