Remote Embedded software engineer jobs

About the Role

We’re looking for a Senior React Native Engineer with strong native iOS experience to help us build the next generation of Meltwater’s mobile products. This is a hands-on senior role for a self-driven engineer who thrives in collaborative environments, takes full ownership of their work, and is passionate about crafting high-quality mobile experiences that scale.

You’ll work across our React Native, native iOS (Swift), and native Android codebases (Java/Kotlin), collaborating closely with designers, backend engineers, and product managers to deliver intuitive, performant, and reliable apps used by thousands of customers globally. Our mobile stack is evolving—modernizing legacy iOS code (RestKit, UIKit) into React Native with shared business logic and modular architecture. You’ll play a key role in this transformation.

What You’ll Do

• Lead the development of new features and enhancements in React Native, integrating with existing native iOS (Swift) components.
• Collaborate with backend and web teams to design and implement APIs, data flows, and modern architecture patterns (MVVM, VIPER, or similar).
• Maintain and improve our CI/CD pipelines (e.g., GitHub Actions, Fastlane) for build reliability and release automation.
• Own the end-to-end delivery of mobile features—from requirements and technical design to testing and deployment.
• Drive code quality, performance optimization, and technical excellence across the team.
• Partner with Product and Design to refine scope, improve usability, and ensure smooth handoffs.
• Help mentor junior and mid-level engineers, providing code reviews and technical guidance.
• Contribute to defining and evolving our mobile architecture strategy as we migrate to a unified React Native codebase.

What We’re Looking For

• 5+ years of professional mobile development experience, with at least 2+ years in React Native and 3+ years in iOS (Swift).
• Deep understanding of React Native workflows, native module bridging, and mobile build cycles.
• Proven experience with modern iOS architecture patterns (VIPER, MVVM, or Clean Architecture).
• Strong knowledge of Swift, UIKit, and SwiftUI fundamentals.
• Familiarity with mobile CI/CD systems and automated build pipelines (Fastlane, GitHub Actions, Bitrise, etc.).
• Solid understanding of RESTful APIs, JSON parsing, and real-time/SSE data flows.
• Experience integrating with third-party SDKs such as Auth0, Firebase, and social login providers.
• Strong collaboration and communication skills—able to work cross-functionally in an agile, globally distributed team.
• A self-starter who takes ownership, identifies improvements, and delivers results without heavy supervision.

Offer Details

• Full-time contractor
• Remote only, full-time dedication (40 hours/week)
• 6 hours of overlap with PST
• 6 months contract with a possibility of extension
• Competitive compensation package.
• Opportunities for professional growth and career development.
• Dynamic and inclusive work environment focused on innovation and teamwork

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview

We are seeking highly skilled Applied AI Research Scientists with deep expertise in Computer Engineering and hardware-centric systems  with an MS or Ph.D. in a relevant technical field to design and execute expert-level evaluation tasks that probe the limits of state-of-the-art AI systems.

In this role, you will create headroom-level, rigorously verifiable evaluation questions rooted in hardware, architecture, and low-level systems reasoning. Your work will focus on exposing model limitations in areas that require deep technical correctness, precise reasoning, and graduate-level understanding of computing systems—well beyond surface-level explanations.

You will work closely with a collaborative, cross-functional team and are expected to be highly detail-oriented, reliable, and committed to accuracy and quality.

Roles & Responsibilities

• Design graduate- and research-level evaluation questions grounded in hardware and computer engineering domains.
• Create tasks that require precise, step-by-step technical reasoning with objectively verifiable ground-truth answers.
• Develop multimodal prompts, including accurate block diagrams, timing diagrams, microarchitecture diagrams, or circuit-level visuals when appropriate.
• Evaluate state-of-the-art AI models on hardware- and systems-heavy reasoning tasks and perform structured side-by-side comparisons.
• Identify and document model failure modes related to architectural correctness, performance reasoning, or low-level system behavior.
• Provide authoritative solutions and explanations for each evaluation task.
• Maintain detailed and accurate records of prompts, expected answers, and evaluation outcomes in shared tracking systems.
• Collaborate with reviewers and researchers to refine evaluation qualiMS or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field.
• Strong expertise in at least two of the below hardware- and systems-focused domains:
  • Computer architecture (pipelines, memory hierarchies, cache coherence, ISA-level reasoning)
  • Hardware systems and performance analysis
  • VLSI design, digital logic, or ASIC/FPGA fundamentals
  • Embedded systems and low-level firmware
  • Operating systems (especially memory management, scheduling, and hardware–software interfaces)
  • Compilers or systems programming with hardware awareness
• Proven experience in technical research, evaluation, or rigorous problem formulation in academic, lab, or production-oriented environments.
• Strong programming skills (especially Python) for analysis, verification, and evaluation workflows.
• Excellent written communication skills and a strong attention to technical detail.

Perks of Freelancing With Turing:

• Work in a fully remote environment
• Opportunity to work on cutting-edge AI projects with leading LLM companies

Offer Details:

• Commitment Required: 8 hours per day, with 4 hours of mandatory overlap with PST
• Employment Type: Contractor assignment (no medical/paid leave).
• Contract Duration: 3 months (expected start date: next week).
• Eligible Locations: US, Canada, LATAM, Europe, Africa.

Evaluation Process:

• Round 1: Take home assessment
  Offline assessment to completed and submitted for reveiw.
• Round 2: Delivery Interview (60 minutes)
  A combined technical and cultural discussion with the Delivery Team.